Squabble causes rise in rates

U.S. Wind Generation surpassed hydroelectric output in 2019, EIA data shows, becoming the top renewable electricity source, driven by PTC incentives, expanded capacity, and utility-scale projects across states, boosting the national electricity mix.

Key Points

U.S. Wind Generation is the nation's top renewable, surpassing hydro as EIA-tracked capacity grows under PTC incentives.

✅ EIA: wind topped hydro in 2019, over 300M MWh generated

✅ PTC credits spurred growth in utility-scale wind projects

✅ 103 GW installed; 77% added in the last decade

Last year saw wind power surging in the U.S. to overtake hydroelectric generation for the first time, according to data from the U.S. Energy Information Administration (EIA).

Released Wednesday, the figures from the EIA’s “Electric Power Monthly” report show that yearly wind generation hit a little over 300 million megawatt hours (MWh) in 2019. This was roughly 26 million MWh more than hydroelectric production.

Wind now represents the “most-used renewable electricity generation source” in the U.S., the EIA said, and renewables hit a 28% monthly record in April in later data.

Overall, total renewable electricity generation — which includes sources such as solar's 4.7% share in 2022 as one example, geothermal and landfill gas — at utility scale facilities hit more than 720 million MWh in 2019, compared to just under 707 million MWh in 2018. To put things in perspective, generation from coal came to more than 966 million MWh in 2019, while renewables surpassed coal in 2022 nationally according to later analyses.

According to the EIA’s “Today in Energy” briefing, which was also published Wednesday, generation from wind power has grown “steadily” across the last decade, and by 2020, renewables became the second-most prevalent source in the U.S. power mix.

This, it added, was partly down to the extension of the Production Tax Credit, or PTC, amid favorable government plans supporting solar and wind growth. According to the EIA, the PTC is a system which gives operators a tax credit per kilowatt hour of renewable electricity production. It applies for the first 10 years of a facility’s operation.

At the end of 2019, the country was home to 103 gigawatts (GW) of wind capacity, with 77% of this being installed in the last decade, and wind capacity surpassed hydro in 2016 according to industry data. The U.S. is home 80 GW of hydroelectric capacity, according to the EIA.

“The past decade saw a steady increase in wind capacity across the country and we capped the decade with a monumental achievement for the industry in reaching more than 100 GW,” Tom Kiernan, the American Wind Energy Association’s CEO, said in a statement issued Thursday.

“And more wind energy is coming, as the industry is well into investing $62 billion in new projects over the next few years that put us on the path to achieving 20 percent of the nation’s electricity mix in 2030,” Kiernan went on to state.

“As a result, wind is positioned to remain the largest renewable energy generator in the country for the foreseeable future.”

Related News

• Electricity Forum News

• Renewable Energy News

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.”

Related News

• Electricity Forum News

• Grid Technologies News

Ontario Hydro Rate Relief Plan delivers short-term electricity bill cuts, while leaked cabinet forecasts show inflation-linked hikes, borrowing costs, and a Clean Energy Adjustment under the province's long-term energy plan.

Key Points

A provincial plan that cuts bills now but defers costs, projecting rate hikes and adding a Clean Energy Adjustment.

✅ 25% cut now, after 8% HST relief; extra 17% reduction applied.

✅ Forecast: inflation-linked hikes later; borrowing adds long-term costs.

✅ Clean Energy Adjustment line to repay deferred system costs.

The short-term gain of a 25 per cent hydro rate cut this summer could lead to long-term pain as a leaked cabinet document forecasts prices jumping again in five years.

In the briefing materials leaked and obtained by the Progressive Conservatives, rates will start rising 6.5 per cent a year in 2022 and top out at 10.5 per cent in 2028, when average monthly bills hit $215.

That would be up from $123 this year once the rate cut — the subject of long-awaited legislation to lower electricity rates unveiled Thursday by Energy Minister Glenn Thibeault — takes full effect. There will be another 17-per-cent cut in addition to the 8 per cent taken off bills in January when the provincial portion of the HST was waived.

The leaked papers overshadowed Thibeault’s efforts to tout the price break, which will be followed with four years of hydro rate increases at 2 per cent, roughly the rate of inflation.

Thibeault charged that the Conservatives used an “outdated” document to distract from the fact that they are the only major party without a plan for dealing with skyrocketing hydro rates, with a year to go until next June’s provincial election.

“It’s not a coincidence,” he told reporters, denying any plans for an eventual 10.5-per-cent rate hike and promising the government’s new long-term energy plan, due in a few months, will have better numbers.

“We are working hard right now to continue to pull costs out of the system.”

Opposition parties said the Liberal plan doesn’t deal with the underlying problems that have made electricity expensive and simply borrows money to spread the costs over a longer period of time, with $25 billion in interest charges over 30 years.

Some observers also noted that a deal with Quebec would not reduce hydro bills, highlighting concerns about lasting affordability.

“The price of electricity is going to skyrocket after the next election,” warned Conservative MPP Todd Smith (Prince Edward—Hastings).

“The government isn’t being honest with the people of Ontario when it comes to the price of electricity.”

The documents show average monthly bills peaking at $231 in the year 2047, before falling back to $210 the following year once the 30 years of interest payments are over.

Conservative sources say they obtained the papers stamped “confidential cabinet document” from a whistleblower after Thibeault’s rate cut plan was presented to cabinet ministers at a meeting in early March.

There is no date on the document, which the energy minister alternately dismissed as “inaccurate” or possibly one of many that have been prepared with different options in mind.

“We’ve had hundreds of briefings with hundreds of documents … I can’t comment on one graph when we’ve been looking at hundreds of scenarios.”

New Democrats, who have proposed a scheme to cut rates, if elected, also called the government plan an election ploy with Liberals lagging in the polls.

“We’re going to take on a huge debt so (Premier) Kathleen Wynne can look good on the hustings in the next few months, and for decades we’re going to pay for it,” said MPP Peter Tabuns (Toronto-Danforth).

Thibeault acknowledged the Liberal plan will start repaying borrowed money in the mid- or late 2020s and it will show up separately on hydro bills as the “Clean Energy Adjustment”, a kind of electricity recovery rate that could raise costs.

Related News

• Electricity Forum News

• Energy Policy News

Hungary's Russian Energy Dependence underscores EU tensions, as TurkStream gas flows, discounted imports, and pipeline reliance challenge sanctions, energy security, diversification, and decoupling goals amid Ukraine war pressures and bloc unity concerns.

Key Points

It is Hungary's reliance on Russian gas and oil via TurkStream, complicating EU sanctions and energy independence.

✅ 85% gas, 60% oil imports from Russia via TurkStream pipelines.

✅ Discounted contracts seldom cut bills; security cited by Budapest.

✅ EU decoupling targets hampered; sanctions leverage and unity erode.

Hungary's energy policies have positioned it as a notable outlier within the European Union, particularly in the context of the ongoing geopolitical tensions stemming from Russia's invasion of Ukraine. While the EU has been actively working to reduce its dependence on Russian energy sources through an EU $300 billion plan to dump Russian energy, Hungary has maintained and even strengthened its energy ties with Moscow, raising concerns about EU unity and the effectiveness of sanctions.

Strategic Energy Dependence

Hungary's energy infrastructure is heavily reliant on Russian supplies. Approximately 85% of Hungary's natural gas and more than 60% of its oil imports originate from Russia. This dependence is facilitated through pipelines such as TurkStream, which delivers Russian gas to Hungary via Turkey and the Balkans amid Europe's energy nightmare over price volatility and security. In 2025, Hungary's gas imports through TurkStream are projected to reach 8 billion cubic meters, a significant increase from previous years. These imports are often secured at discounted rates, although such savings may not always be passed on to Hungarian consumers.

Political and Economic Considerations

Prime Minister Viktor Orbán has been a vocal critic of EU sanctions against Russia and has consistently blocked EU initiatives aimed at providing military aid to Ukraine, even as Ukraine leans on power imports to keep the lights on. His government argues that Russia's military capabilities make it an unyielding adversary and that a ceasefire would only solidify its territorial gains. Orbán's stance has led to Hungary's isolation within the EU on matters related to the conflict in Ukraine.

Economically, Hungary's reliance on Russian energy has been justified by the government as a means to maintain low energy prices for consumers and ensure energy security. However, critics argue that this strategy undermines EU efforts to achieve energy independence and reduces the bloc's leverage over Russia amid a global energy war marked by price hikes and instability.

EU's Response and Challenges

The European Union has set ambitious goals to reduce its reliance on Russian energy, aiming to halt imports of Russian natural gas by the end of 2027 and prohibit new contracts starting in 2025 while exploring gas price cap strategies to contain market volatility. However, Hungary's continued imports of Russian energy complicate these efforts. The TurkStream pipeline, in particular, has become a focal point in discussions about the EU's energy strategy, as it enables ongoing Russian gas exports to Europe despite the bloc's broader decoupling initiatives.

Hungary's actions have raised concerns among other EU member states about the effectiveness of the sanctions regime and the potential for other countries to exploit similar loopholes. There are calls for stricter policies, including banning spot gas purchases and enforcing traceability of gas origins, and consideration of emergency measures to limit electricity prices to ensure genuine energy independence and reduce overreliance on external suppliers.

Hungary's steadfast energy relationship with Russia presents a significant challenge to the European Union's collective efforts to reduce dependence on Russian energy sources. While Hungary argues that its energy strategy is in the national interest, it risks undermining EU solidarity and the bloc's broader geopolitical objectives. As the EU continues to navigate its energy transition and response to the ongoing conflict in Ukraine, including energy ceasefire violations reported by both sides, Hungary's position will remain a critical point of contention within the union.

Related News

• Electricity Forum News

• Energy Policy News

Texas After-Labor Day School Start could ease ERCOT's power grid strain by shifting peak demand, lowering air-conditioning loads in schools, improving grid reliability, reducing electricity costs, and curbing emissions during extreme heat the summer months.

Key Points

A proposed calendar shift to start school after Labor Day to lower ERCOT peak demand, costs, and grid risk.

✅ Cuts school HVAC loads during peak summer heat

✅ Lowers costly peaker plant use and electricity rates

✅ Requires calendar changes, testing and activities shifts

As Texas faces increasing demands on its power grid, a new proposal is gaining traction: starting the school year after Labor Day. This idea, reported by the Dallas News, suggests that delaying the start of the academic year could help alleviate some of the pressure on the state’s electricity grid during the peak summer months, potentially leading to both grid stability and financial savings. Here’s an in-depth look at how this proposed change could impact Texas’s energy landscape and education system.

The Context of Power Grid Strain

Texas's power grid, operated by the Electric Reliability Council of Texas (ERCOT), has faced significant challenges in recent years. Extreme weather events, record-breaking temperatures, and high energy demand have strained the grid, and some analyses argue that climate change, not demand is the biggest challenge today, leading to concerns about reliability and stability. The summer months are particularly taxing, as the demand for air conditioning surges, often pushing the grid to its limits.

In this context, the idea of adjusting the school calendar to start after Labor Day has been proposed as a potential strategy to help manage electricity demand. By delaying the start of school, proponents argue that it could reduce the load on the power grid during peak usage periods, thereby easing some of the stress on energy resources.

Potential Benefits for the Power Grid

The concept of delaying the school year is rooted in the potential benefits for the power grid. During the hottest months of summer, the demand for electricity often spikes as families use air conditioning to stay cool, and utilities warn to prepare for blackouts as summer takes hold. School buildings, typically large and energy-intensive facilities, contribute significantly to this demand when they are in operation.

Starting school later could help reduce this peak demand, as schools would be closed during the hottest months when the grid is under the most pressure. This reduction in demand could help prevent grid overloads and reduce the risk of power outages, at a time when longer, more frequent outages are afflicting the U.S. power grid, ultimately contributing to a more stable and reliable electricity supply.

Additionally, a decrease in peak demand could help lower electricity costs. Power plants, particularly those that are less efficient and more expensive to operate, are often brought online during periods of high demand. By reducing the peak load, the state could potentially minimize the need for these costly power sources, leading to lower overall energy costs.

Financial and Environmental Considerations

The financial implications of starting school after Labor Day extend beyond just the power grid. By reducing energy consumption during peak periods, the state could see significant savings on electricity costs. This, in turn, could lead to lower utility bills for schools, businesses, and residents alike, a meaningful relief as millions risk electricity shut-offs during summer heat.

Moreover, reducing the demand for electricity from fossil fuel sources can have positive environmental impacts. Lower peak demand may reduce the reliance on less environmentally friendly energy sources, and aligns with calls to invest in a smarter electricity infrastructure nationwide, thereby decreasing greenhouse gas emissions and contributing to overall environmental sustainability.

Challenges and Trade-offs

While the proposal offers potential benefits, it also comes with challenges and trade-offs. Adjusting the school calendar would require significant changes to the academic schedule, potentially affecting extracurricular activities, summer programs, and family plans, and comparisons to California's reliability challenges underscore the complexity. Additionally, there could be resistance from various stakeholders, including parents, educators, and students, who are accustomed to the current school calendar.

There are also logistical considerations to address, such as how a delayed start might impact standardized testing schedules and the academic calendar for higher education institutions. These factors would need to be carefully evaluated to ensure that the proposed changes do not adversely affect educational outcomes or create unintended consequences.

Looking Ahead

The idea of starting Texas schools after Labor Day represents an innovative approach to addressing the challenges facing the state’s power grid. By potentially reducing peak demand and lowering energy costs, and alongside efforts to connect Texas's grid to the rest of the nation, this proposal could contribute to greater grid stability and financial savings. However, careful consideration and planning will be essential to navigate the complexities of altering the school calendar and to ensure that the benefits outweigh the challenges.

As Texas continues to explore solutions for managing its power grid and energy resources, the proposal to shift the school year schedule provides an intriguing possibility. It reflects a broader trend of seeking creative and multifaceted approaches to balancing energy demand, environmental sustainability, and public needs.

In conclusion, starting schools after Labor Day could offer tangible benefits for Texas’s power grid and financial well-being. As discussions on this proposal advance, it will be important to weigh all factors and engage stakeholders to ensure a successful and equitable implementation.

Related News

• Electricity Forum News

• Grid Technologies News

Electricity Investment Surpasses Oil and Gas 2016, driven by renewable energy, power grids, and energy efficiency, as IEA reports lower oil and gas spending, rising solar and wind capacity, and declining coal power plant approvals.

Key Points

A 2016 milestone where electricity topped global energy investment, led by renewables, grids, and efficiency, per the IEA.

✅ IEA: electricity investment hit $718b; oil and gas fell to $650b.

✅ Renewables led with $297b; solar and wind unit costs declined.

✅ Coal plant approvals plunged; networks and storage spending rose.

Investments in electricity surpassed those in oil and gas for the first time ever in 2016 on a spending splurge on renewable energy and power grids as the fall in crude prices led to deep cuts, the International Energy Agency (IEA) said.

Total energy investment fell for the second straight year by 12 per cent to US$1.7 trillion compared with 2015, the IEA said. Oil and gas investments plunged 26 per cent to US$650 billion, down by over a quarter in 2016, and electricity generation slipped 5 per cent.

"This decline (in energy investment) is attributed to two reasons," IEA chief economist Laszlo Varro told journalists.

"The reaction of the oil and gas industry to the prolonged period of low oil prices which was a period of harsh investment cuts; and technological progress which is reducing investment costs in both renewable power and in oil and gas," he said.

Oil and gas investment is expected to rebound modestly by 3 per cent in 2017, driven by a 53 per cent upswing in U.S. shale, and spending in Russia and the Middle East, the IEA said in a report.

"The rapid ramp up of U.S. shale activities has triggered an increase of U.S. shale costs of 16 per cent in 2017 after having almost halved from 2014-16," the report said.

The global electricity sector, however, was the largest recipient of energy investment in 2016 for the first time ever, overtaking oil, gas and coal combined, the report said.

"Robust investments in renewable energy and increased spending in electricity networks, which supports the outlook that low-emissions sources will cover most demand growth, made electricity the biggest area of capital investments," Varro said.

Electricity investment worldwide was US$718 billion, lifted by higher spending in power grids which offset the fall in power generation investments.

"Investment in new renewables-based power capacity, at US$297 billion, remained the largest area of electricity spending, despite falling back by 3 per cent as clean energy investment in developing nations slipped, the report said."

Although renewables investments was 3 per cent lower than five years ago, capacity additions were 50 per cent higher and expected output from this capacity about 35 per cent higher, thanks to the fall in unit costs and technology improvements in solar PV and wind generation, the IEA said.

COAL INVESTMENT IS COMING TO AN END

Investments in coal-fired electricity plants fell sharply. Sanctioning of new coal power plants fell to the lowest level in nearly 15 years, reflecting concerns about local air pollution, and emergence of overcapacity and competition from renewables, with renewables poised to eclipse coal in global power generation, notably in China. Coal investments, however, grew in India.

"Coal investment is coming to an end. At the very least, it is coming to a pause," Varro said.

The IEA report said energy efficiency investments continued to expand in 2016, reaching US$231 billion, with most of it going to the building sector globally.

Electric vehicles sales rose 38 per cent in 2016 to 750,000 vehicles at $6 billion, and represented 10 per cent of all transport efficiency spending. Some US$6 billion was spent globally on electronic vehicle charging stations, the IEA said.

Spending on electricity networks and storage continued the steady rise of the past five years, as surging electricity demand puts power systems under strain, reaching an all-time high of US$277 billion in 2016, with 30 per cent of the expansion driven by China’s spending in its distribution system, the report said.

China led the world in energy investments with 21 per cent of global total share, the report said, driven by low-carbon electricity supply and networks projects.

Although oil and gas investments fell in the United States in 2016, its total energy investments rose 16 per cent, even as Americans use less electricity in recent years, on the back of spending in renewables projects, the IEA report said.

Related News

• Electricity Forum News

• Power Generation News