Clear air rules to create jobs: report

US energy mix shows how the electric grid blends renewables, fossil fuels, nuclear, and hydro, varying by ISO/RTO markets, utilities, and state policies, affecting carbon emissions, pricing, reliability, and access.

Key Points

The US energy mix is the grid's source breakdown by region: fossil fuels, renewables, nuclear, and hydro.

✅ Check ISO or RTO dashboards for real-time generation by fuel source.

✅ Utilities may offer green power plans or RECs at modest premiums.

✅ Energy mix shifts with policy, pricing, and grid reliability needs.

There are few resources more important than energy. Sure, you may die if you don't eat for days. But your phone will die if you go too long without charging it. Energy feeds tech, the internet, city infrastructure, refrigerators, lights, and has evolved throughout U.S. history in profound ways. You get the idea. Yet unlike our other common needs, such as food, energy sources aren't exactly front of mind for most people. 

"I think a lot of people don't put a lot of bandwidth into thinking about this part of their lives," said Richard McMahon, the SVP of energy supply and finance at Edison Electric Institute, a trade group that represents investor-owned electric companies in the US. 

It makes sense. For most Americans, electricity is always there, and in many locations, there's not much of a choice involved, even as electricity demand is flat across the U.S. today. You sign up with a utility when you move into a new residence and pay your bills when they're due. 

But there's an important reality that indifference eschews: In 2018, a third of the energy-related carbon-dioxide emissions in the US came from the electric power sector, according to the US Energy Information Administration (EIA). 

A good chunk of that is from the residential sector, which consistently uses more energy than commercial customers, per EIA data.

Just as many people exercise choice when they eat, you typically also have a choice when it comes to your energy supply. That's not to say your current offering isn't what you want, or that switching will be easy or affordable, but "if you're a customer and want power with a certain attribute," McMahon said, "you can pretty much get it wherever you are." 

But first, you need to know the energy mix you have right now. As it turns out, it's not so straightforward. At all.

This brief guide may help. 

For some utility providers, you can find out if it publishes the energy mix online. Dominion Energy, which serves Idaho, North Carolina, Ohio, South Carolina, Utah, Virginia, West Virginia, and Wyoming, provides this information in a colored graphic. 

"Once you figure out who your utility is you can figure out what mix of resources they use," said Heidi Ratz, an electricity markets researcher at the World Resources Institute.

But not all utilities publish this information.

It has to do with their role in the grid and reflects utility industry trends in structure and markets. Some utility companies are vertically integrated; they generate power through nuclear plants or wind farms and distribute those electrons directly to their customers. Other utilities just distribute the power that different companies produce. 

Consider Consolidated Edison, or Con Ed, which distributes energy to parts of New York City. While reporting this story, Business Insider could not find information about the utility's energy mix online. When reached for comment, a spokesperson said, "we're indifferent to where it comes from."

That's because, in New York, distribution utilities like Con Ed often buy energy through a wholesale marketplace.

Take a look at this map. If you live in one of the colored regions, your electricity is sold on a wholesale market regulated by an organization called a regional transmission organization (RTO) or independent system operator (ISO). Distribution utilities like Con Ed often buy their energy through these markets, based on availability and cost, while raising questions about future utility revenue models as prices shift. 

Still, it's pretty easy to figure out where your energy comes from. Just look up the ISO or RTO website (such as NYISO or CAISO). Usually, these organizations will provide energy supply information in near-real time. 

That's exactly what Con Edison (which buys energy on the NYISO marketplace) suggested. As of Friday morning, roughly 40% of the energy on the market place was natural gas or other fossil fuels, 34% was nuclear, and about 22% was hydro. 

If you live in another region governed by an ISO or RTO, such as in most of California, you can do the same thing. Like NYISO, CAISO has a dashboard that shows (again, as of Friday morning) about 36% of the energy on the market comes from natural gas and more than 20% comes from renewables. 

In the map linked above, you'll notice that some of the ISOs and RTOs like MISO encompass enormous regions. That means that even if you figure out where the energy in your market comes from, it's not going to be geographically specific. But there are a couple of ways to drill down even further. 

The Environmental Protection Agency has a straightforward tool called Power Profiler. You can enter your zip code to see the fuel mix in your area. But it's not perfect. The data are from 2016 and, in some regions of the country like the upper Midwest, they aren't much more localized, and some import dirty electricity due to regional trading. 

The World Resources Institute also has a tool that allows you to see the electricity mix by state, based on 2017 data from EIA. These numbers represent power generation, not the electricity actually flowing into your sockets, but they offer a rough idea of what energy resources are operating in your state. 

One option is to check with your utility to see if it has a "green power" offering. Over 600 utilities across the country have one, according to the Climate Reality Project, though they often come at a slightly higher cost. It's typically on the scale of just a few more cents per kilowatt-hour. 

There are also independent, consumer-facing companies like Arcadia and Green Mountain Energy that allow you to source renewable energy, by virtually connecting you to community solar projects or purchasing Renewable Energy Certificates, or RECs, on your behalf, as America goes electric and more options emerge. 

"RECs measure an investment in a clean energy resource," Ratz said, in an email. "The goal of putting that resource on the grid is to push out the need for dirtier resources."

The good news: Even if you do nothing, your energy mix will get cleaner. Coal production has fallen to lows not seen since the 1980s, amid disruptions in coal and nuclear sectors that affect reliability and costs, while renewable electricity generation has doubled since 2008. So whether you like it or not, you'll be roped into the clean energy boom one way or another. 

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US-Canada Electricity Tariff Dispute intensifies as proposed tariffs spur Canadian threats to restrict hydroelectric exports, risking cross-border energy supply, grid reliability, higher electricity prices, and clean energy goals in the Northeast and Midwest.

Key Points

Trade clash over tariffs and hydroelectric exports that threatens power supply, prices, and grid reliability.

✅ Potential export curbs on Canadian hydro to US markets

✅ Risks: higher prices, strained grids, reduced clean energy

✅ Diplomacy urged to avoid retaliatory trade measures

In early February 2025, escalating trade tensions between the United States and Canada have raised concerns about the future of electricity exports from Canada to the U.S. The potential imposition of tariffs by the U.S. has prompted Canadian officials to consider retaliatory measures, including restricting electricity exports and pursuing high-level talks such as Ford's Washington meeting with federal counterparts.

Background of the Trade Dispute

In late November 2024, President-elect Donald Trump announced plans to impose a 25% tariff on all Canadian products, citing issues related to illegal immigration and drug trafficking. This proposal has been met with strong opposition from Canadian leaders, who view such tariffs as unjustified and detrimental to both economies, even as tariff threats boost support for Canadian energy projects among some stakeholders.

Canada's Response and Potential Retaliatory Measures

In response to the proposed tariffs, Canadian officials have discussed various countermeasures. Ontario Premier Doug Ford has threatened to cut electricity supplies to 1.5 million Americans and ban imports of U.S.-made beer and liquor. Other provinces, such as Quebec and Alberta, are also considering similar actions, though experts advise against cutting Quebec's energy exports due to reliability concerns.

Impact on U.S. Energy Supply

Canada is a significant supplier of electricity to the United States, particularly in regions like the Northeast and Midwest. A reduction or cessation of these exports could lead to energy shortages and increased electricity prices in affected U.S. states, with New York especially vulnerable according to regional assessments. For instance, Ontario exports substantial amounts of electricity to neighboring U.S. states, and any disruption could strain local energy grids.

Economic Implications

The imposition of tariffs and subsequent retaliatory measures could have far-reaching economic consequences. In Canada, industries such as agriculture, manufacturing, and energy could face significant challenges due to reduced access to the U.S. market, even as many Canadians support energy and mineral tariffs as leverage. Conversely, U.S. consumers might experience higher prices for goods and services that rely on Canadian imports, including energy products.

Environmental Considerations

Beyond economic factors, the trade dispute could impact environmental initiatives. Canada's hydroelectric power exports are a clean energy source that helps reduce carbon emissions in the U.S., where policymakers look to Canada for green power to meet targets. A reduction in these exports could lead to increased reliance on fossil fuels, potentially hindering environmental goals.

The escalating trade tensions between the United States and Canada, particularly concerning electricity exports, underscore the complex interdependence of the two nations. While the situation remains fluid, it highlights the need for diplomatic engagement to resolve disputes and maintain the stability of cross-border energy trade.

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U.S. Energy Transition traces the shift from coal and oil to natural gas, nuclear power, and renewables like wind and solar, driven by efficiency, grid modernization, climate goals, and economic innovation.

Key Points

The U.S. Energy Transition is the shift from fossil fuels to cleaner power, driven by tech, policy, and markets.

✅ Shift from coal and oil to gas, nuclear, wind, and solar

✅ Enabled by grid modernization, storage, and efficiency

✅ Aims to cut emissions while ensuring reliability and affordability

The evolution of energy use in the United States is a dynamic narrative that reflects technological advancements, economic shifts, environmental awareness, and societal changes over time. From the nation's early reliance on wood and coal to the modern era dominated by oil, natural gas, and renewable sources, the story of energy consumption in the U.S. is a testament to innovation and adaptation.

Early Energy Sources: Wood and Coal

In the early days of U.S. history, energy needs were primarily met through renewable resources such as wood for heating and cooking. As industrialization took hold in the 19th century, coal emerged as a dominant energy source, fueling steam engines and powering factories, railways, and urban growth. The widespread availability of coal spurred economic development and shaped the nation's infrastructure.

The Rise of Petroleum and Natural Gas

The discovery and commercialization of petroleum in the late 19th century transformed the energy landscape once again. Oil quickly became a cornerstone of the U.S. economy, powering transportation, industry, and residential heating, and informing debates about U.S. energy security in policy circles. Concurrently, natural gas emerged as a significant energy source, particularly for heating and electricity generation, as pipelines expanded across the country.

Electricity Revolution

The 20th century witnessed a revolution in electricity generation and consumption, and understanding where electricity comes from helps contextualize how systems evolved. The development of hydroelectric power, spurred by projects like the Hoover Dam and Tennessee Valley Authority, provided clean and renewable energy to millions of Americans. The widespread electrification of rural areas and the proliferation of appliances in homes and businesses transformed daily life and spurred economic growth.

Nuclear Power and Energy Diversification

In the mid-20th century, nuclear power emerged as a promising alternative to fossil fuels, promising abundant energy with minimal greenhouse gas emissions. Despite concerns about safety and waste disposal, nuclear power plants became a significant part of the U.S. energy mix, providing a stable base load of electricity, even as the aging U.S. power grid complicates integration of variable renewables.

Renewable Energy Revolution

In recent decades, the U.S. has seen a growing emphasis on renewable energy sources such as wind, solar, and geothermal power, yet market shocks and high fuel prices alone have not guaranteed a rapid green revolution, prompting broader policy and investment responses. Advances in technology, declining costs, and environmental concerns have driven investments in clean energy infrastructure and policies promoting renewable energy adoption. States like California and Texas lead the nation in wind and solar energy production, demonstrating the feasibility and benefits of transitioning to sustainable energy sources.

Energy Efficiency and Conservation

Alongside shifts in energy sources, improvements in energy efficiency and conservation have played a crucial role in reducing per capita energy consumption and greenhouse gas emissions. Energy-efficient appliances, building codes, and transportation innovations have helped mitigate the environmental impact of energy use while reducing costs for consumers and businesses, and weather and economic factors also influence demand; for example, U.S. power demand fell in 2023 on milder weather, underscoring the interplay between efficiency and usage.

Challenges and Opportunities

Looking ahead, the U.S. faces both challenges and opportunities in its energy future, as recent energy crisis effects ripple across electricity, gas, and EVs alike. Addressing climate change requires further investments in renewable energy, grid modernization, and energy storage technologies. Balancing energy security, affordability, and environmental sustainability remains a complex task that requires collaboration between government, industry, and society.

Conclusion

The evolution of energy use throughout U.S. history reflects a continuous quest for innovation, economic growth, and environmental stewardship. From wood and coal to nuclear power and renewables, each era has brought new challenges and opportunities in meeting the nation's energy needs. As the U.S. transitions towards a cleaner and more sustainable energy future, leveraging technological advancements and embracing policy solutions, amid debates over U.S. energy dominance, will be essential in shaping the next chapter of America's energy story.

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Waste-to-Graphene uses flash joule heating to convert carbon-rich trash into turbostratic graphene for composites, asphalt, concrete, and flexible electronics, delivering scalable, low-cost, high-quality material from food scraps, plastics, and tires with minimal processing.

Key Points

A flash heating method converting waste carbon into turbostratic graphene for scalable, low-cost industrial uses.

✅ Converts food scraps, plastics, and tires into graphene

✅ Produces turbostratic flakes that disperse well in composites

✅ Scalable, low-cost process via flash joule heating

Science doesn’t usually take after fairy tales. But Rumpelstiltskin, the magical imp who spun straw into gold, would be impressed with the latest chemical wizardry. Researchers at Rice University report today in Nature that they can zap virtually any source of solid carbon, from food scraps to old car tires, and turn it into graphene—sheets of carbon atoms prized for applications ranging from high-strength plastic to flexible electronics, and debates over 5G electricity use continue to evolve. Current techniques yield tiny quantities of picture-perfect graphene or up to tons of less prized graphene chunks; the new method already produces grams per day of near-pristine graphene in the lab, and researchers are now scaling it up to kilograms per day.

“This work is pioneering from a scientific and practical standpoint” as it promises to make graphene cheap enough to use to strengthen asphalt or paint, says Ray Baughman, a chemist at the University of Texas, Dallas. “I wish I had thought of it.” The researchers have already founded a new startup company, Universal Matter, to commercialize their waste-to-graphene process, while others are digitizing the electrical system to modernize infrastructure.

With atom-thin sheets of carbon atoms arranged like chicken wire, graphene is stronger than steel, conducts electricity and heat better than copper, and can serve as an impermeable barrier preventing metals from rusting, while advances such as superconducting cables aim to cut grid losses. But since its 2004 discovery, high-quality graphene—either single sheets or just a few stacked layers—has remained expensive to make and purify on an industrial scale. That’s not a problem for making diminutive devices such as high-speed transistors and efficient light-emitting diodes. But current techniques, which make graphene by depositing it from a vapor, are too costly for many high-volume applications. And higher throughput approaches, such as peeling graphene from chunks of the mineral graphite, produce flecks composed of up to 50 graphene layers that are not ideal for most applications.

Graphene comes in many forms. Single sheets, which are ideal for electronics and optics, can be grown using a method called chemical vapor deposition. But it produces only tiny amounts. For large volumes, companies commonly use a technique called liquid exfoliation. They start with chunks of graphite, which is just myriad stacked graphene layers. Then they use acids and solvents, as well as mechanical grinding, to shear off flakes. This approach typically produces tiny platelets each made up of 20 to 50 layers of graphene.

In 2014, James Tour, a chemist at Rice, and his colleagues found they could make a pure form of graphene—each piece just a few layers thick—by zapping a form of amorphous carbon called carbon black with a laser. Brief pulses heated the carbon to more than 3000 kelvins, snapping the bonds between carbon atoms; for comparison, researchers have also generated electricity from falling snow using triboelectric effects. As the cloud of carbon cooled, it coalesced into the most stable structure possible, graphene. But the approach still produced only tiny qualities and required a lot of energy.

Two years ago, Luong Xuan Duy, one of Tour’s graduate students, read that other researchers had created metal nanoparticles by zapping a material with electricity, creating the same brief blast of heat behind the success of the laser graphene approach. “I wondered if I could use that to heat a carbon source and produce graphene,” Duy says. So, he put a dash of carbon black in a clear glass vial and zapped it with 400 volts, similar in spirit to electrical weed zapping approaches in agriculture, for about 200 milliseconds. Initially he got junk. But after a bit of tweaking, he managed to create a bright yellowish white flash, indicating the temperature inside the vial was reaching about 3000 kelvins. Chemical tests revealed he had produced graphene.

It turned out to be a type of graphene that is ideal for bulk uses. As the carbon atoms condense to form graphene, they don’t have time to stack in a regular pattern, as they do in graphite. The result is a material known as turbostatic graphene, with graphene layers jumbled at all angles atop one another. “That’s a good thing,” Duy says. When added to water or other solvents, turbostatic graphene remains suspended instead of clumping up, allowing each fleck of the material to interact with whatever composite it’s added to.

“This will make it a very good material for applications,” says Monica Craciun, a materials physicist at the University of Exeter. In 2018, she and her colleagues reported that adding graphene to concrete more than doubled its compressive strength. Tour’s team saw much the same result. When they added just 0.05% by weight of their flash-produced graphene to concrete, the compressive strength rose 25%; graphene added to polydimethylsiloxane, a common plastic, boosted its strength by 250%.

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Those results could reignite efforts to use graphene in a wide range of composites. Researchers in Italy reported recently that adding graphene to asphalt dramatically reduces its tendency to fracture and more than doubles its life span. Last year, Iterchimica, an Italian company, began to test a 250-meter stretch of road in Milan paved with graphene-spiked asphalt. Tests elsewhere have shown that adding graphene to paint dramatically improves corrosion resistance.

These applications would require high-quality graphene by the ton. Fortunately, the starting point for flash graphene could hardly be cheaper or more abundant: Virtually any organic matter, including coffee grounds, food scraps, old tires, and plastic bottles, can be vaporized to make the material. “We’re turning garbage into graphene,” Duy says.

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AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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EDP Takeover Bid Rejection signals pushback on China Three Gorges' acquisition bid, as investors, shareholders, and analysts cite low premium, valuation concerns, and strategic renewables assets across Portugal, the US, Brazil, and Europe utilities.

Key Points

EDP's board views China Three Gorges' 3.26 euro per share offer as too low, citing valuation and renewables exposure.

✅ Bid premium 4.8% above close seen as inadequate.

✅ Stock surged above offer; market expects higher price.

✅ Advisors UBS and Morgan Stanley guiding EDP.

EDP-Energias de Portugal SA is poised to reject a 9.1 billion euro ($10.9 billion) takeover offer from China Three Gorges Corp. on the grounds that it undervalues Portugal’s biggest energy company, according to people with knowledge of the matter.

The board of EDP, which may meet as early as this week, views the current bid of 3.26 euros a share as too low as it indicates a premium of 4.8 percent over Friday’s close, said the people, asking not to be identified because the discussions are private. EDP is also working with advisers including UBS Group AG and Morgan Stanley on the potential deal, they said.

Representatives for EDP, UBS and Morgan Stanley declined to comment. Representatives for Three Gorges didn’t immediately respond to requests for comment.

#google#

Shares of EDP surged the most in a decade to above the bid level on Monday, signaling that investors expect the Chinese utility, which is its biggest investor, to sweeten the offer to gain full control. For Three Gorges, which spent two decades building a hydro-power plant spanning China’s Yangtze River, the deal would bolster its efforts to expand abroad and give it deeper access to markets in Europe, the U.S. and Brazil.

China’s biggest renewable-energy developer already is the largest shareholder of EDP with a 23 percent stake and now is seeking more than 50 percent. While the government in Lisbon has indicated it’s comfortable with the Chinese offer, EDF electricity price deal illustrates policy dynamics in the region and it holds out little incentive for shareholders to tender their stock.

Stock Jumps

Shares of EDP rose 9.3 percent to 3.40 euros in Lisbon on Monday, even as rolling back European electricity prices remains challenging, after earlier jumping by the most since October 2008.

“We believe the price offered is too low for China Three Gorges to achieve full control of a vehicle that provides, among other things, a strategic footprint into U.S. renewables,” Javier Garrido, an analyst at JPMorgan Chase & Co., said in a note. “We expect management and minorities to claim a higher price.”

The offer adds to a wave of investments China has made overseas, both to earn a yield on its cash and to gain expertise in industries ranging from energy to telecommunications and transport. Concern about those deals has been mounting in the U.S. regulatory arena recently. European Union governments have been divided in their response, with Portugal among those most supportive of inward investment.

“China Three Gorges is an ambitious company, with expansion already in international hydro, Chinese onshore wind and floating solar, and European offshore wind,” said Angus McCrone, a senior analyst at Bloomberg New Energy Finance in London. “It may have to do better on bid price than the 5 percent premium so far offered for EDP.”

Fortum’s Troubles

The low premium offered by Three Gorges echoes the struggle Fortum Oyj had in winning over investors in its bid for Uniper SE last year, while North American deals such as Hydro One’s Avista bid faced customer backlash as well, highlighting parallels. The Finnish utility offered 8 billion euros to buy out the remainder of Uniper in September, immediately sending shares of the German power generator above the offer prices. At least for now, Fortum has settled for a 47 percent stake it bought in Uniper from EON SE, and most other shareholders decided to keep their stake.

The EDP transaction would advance a wave of consolidation among Europe’s leading utilities, which are acquiring assets and development skills in renewables as governments across the region crack down on pollution. EDP is one of Europe’s leading developers of renewable energy, building mainly wind farms and hydro plants, and has expanded in markets including Brazil and the U.S. electrification market.

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