Solar CEOs gather for conference and exposition

UK Coal-Free Grid Streak highlights record hours without coal, as renewable energy, wind and solar boost electricity generation, cutting CO2 emissions, reducing fossil fuel reliance, and accelerating grid decarbonization amid volatile gas markets.

Key Points

It is the UKs longest coal-free power run, driven by renewables, signaling decarbonization and reduced gas reliance.

✅ Record-breaking hours of electricity with zero coal generation

✅ Enabled by wind, solar, and growing offshore wind capacity

✅ Highlights need to cut gas use and expand renewable investment

Today is the fourth the UK has entered with not a watt of electricity generated by coal.

It’s the longest such streak since the 1880s and comes only days after the last modern era coal-free power record of 55 hours was set.

That represents good news for those of us who have children and would rather like there to be a planet for them to live on when we’re gone.

Coal generated power is dirty power, and not just through the carbon that gets pumped into the atmosphere when it burns.

The fact that the UK is increasingly able to call upon cleaner alternatives for its requirements, to the extent that records are being regularly broken and coal's share has fallen to record lows, is a welcome development.

The trouble is one of those alternatives is gas, and while it is better than coal it still throws off CO2, among other pollutants. The UK’s use of it, for electricity generation and most of its heating, comes with the added disadvantage of leaving it in hock to volatile international markets and producers that aren’t always friendly.

It was only last month, with the country in the middle of a cold snap, that the Grid was issuing a deficit warning (its first in eight years).

As I wrote at the time, we need to burn less of the stuff as low-carbon progress stalled in 2019 shows, too.

As such, Greenpeace’s call for more investment in renewable energy technology and generation, including solar, onshore wind and offshore wind, which is making an increasing contribution as wind beat coal in 2016 demonstrated, was well made.

Those who complain about onshore wind farms, particularly when they are built in windy places that are pretty, seem willfully blind to the pollution caused by gas.

The need to be listened to less. So do those, like British Gas owner Centrica, that bellyache about green taxes.

It bears repeating that fossil fuels are subsidised still more. It’s just that the subsidies are typically hidden.

A report issued last year by a coalition of environmental organisations found the UK provided $972m (£695m) of annual financing for fossil fuels on average between 2013 and 2015, compared with $172m for renewable energy.

But while they come up with wildly varying amounts as a result of wildly varying approaches, the OECD, the IMF and the International Energy Agency have all quantified substantial subsidies for fossils fuels. Their annual estimates have ranged from $160bn to $5.3tn (yes you read that rate and the number was the IMF’s) globally.

So by all means celebrate coal free days, and a full week without coal power as milestones. But we need more of them more quickly and we need more renewable energy to pick up the slack. As such, the philosophy and approach of government needs to change.

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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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Nova Scotia Integrated Resource Plan evaluates NSPI supply options, UARB oversight, Muskrat Falls imports, coal retirements, wind and biomass expansion, transmission upgrades, storage, and least-cost pathways to decarbonize the grid for ratepayers.

Key Points

A 25-year roadmap assessing supply, imports, costs, and emissions to guide least-cost decarbonization for Nova Scotia.

✅ Compares wind, biomass, gas, imports, and storage costs

✅ Addresses coal retirements, emissions caps, and reliability

✅ Recommends transmission upgrades and Muskrat Falls utilization

Maintaining a viable electricity network requires good long-term planning and, as a recent grid operations report notes, ongoing operational improvements. The existing stock of generating assets can become obsolete through aging, changes in fuel prices or environmental considerations. Future changes in demand must be anticipated.

Periodically, an integrated resource plan is created to predict how all this will add up during the ensuing 25 years. That process is currently underway and is led by Nova Scotia Power Inc. (NSPI) and will be submitted for approval to the Utilities and Review Board (UARB).

Coal-fired plants are still the largest single source of electricity in Nova Scotia. They need to be replaced with more environmentally friendly sources when they reach the end of their useful lives. Other sources include wind, hydroelectricity from rivers, biomass, as seen in increased biomass use by NS Power, natural gas and imports from other jurisdictions.

Imports are used sparingly today but will be an important source when the electricity from Muskrat Falls comes on stream. That project has big capacity. It can produce all the power needed in Newfoundland and Labrador (NL), where Quebec's power ambitions influence regional flows, plus the amount already committed to Nova Scotia, and still have a lot left over.

Some sources of electricity are more valuable than others. The daily amount of power from wind and solar cannot be controlled. Fuel-based sources and hydro can.

Utilities make their profits by providing the capital necessary to build infrastructure. Most of the money is borrowed but a portion, typically 30 per cent, usually comes from NSPI or a sister company. On that they receive a rate of return of nine per cent. Nova Scotia can borrow money today at less than two per cent.

The largest single investment of that type is the $1.577-billion Maritime Link connecting power from Newfoundland to Nova Scotia. It continues through to the New Brunswick border to facilitate exports to the United States. NSPI’s sister company, NSP Maritime Link Inc. (NSPML), is making nine per cent on $473 million of the cost.

There is little unexploited hydro capacity in Nova Scotia and there will not be any new coal-fired plants. Large-scale solar is not competitive in Nova Scotia’s climate. Nova Scotia’s needs would not accommodate the amount of nuclear capacity needed to be cost-effective, even as New Brunswick explores small reactors in its strategy.

So the candidates for future generating resources are wind, natural gas, biomass (though biomass criticism remains) and imports from other jurisdictions. Tidal is a promising opportunity but is still searching for a commercially viable technology. 

NSPI is commendably transparent about its process (irp.nspower.ca). At this stage there is little indication of the conclusions they are reaching but that will presumably appear in due course.

The mountains of detail might obscure the fact that NSPI is not an unbiased arbiter of choices for the future.

It is reported that they want to prematurely close the Trenton 5 coal plant in 2023-25. It is valued at $88.5 million. If it is closed early, ratepayers will still have to pay off the remaining value even though the plant will be idle. NSPI wants to plan a decommissioning of five of its other seven plants. There is a federal emissions constraint but retiring coal plants earlier than needed will cost ratepayers a lot.

Whenever those plants are closed, there will be a need for new sources of power. NSPI is proposing to plan for new investments in new transmission infrastructure to facilitate imports. Other possibilities would be additional wind farms, consistent with the shift to more wind and solar projects, thermal plants that burn natural gas or biomass, or storage for excess wind power that arrives before it can be used. The investment in storage could be anywhere from $20 million to $200 million.

These will add to the asset burden funded by ratepayers, even as industrial customers seek discounts while still paying for shuttered coal infrastructure.

External sources of new power will not provide NSPI the same opportunity: wind power by independent producers might be less expensive because they are willing to settle for less than nine per cent or because they are more efficient. Buying more power from Muskrat Falls will use transmission infrastructure we are already paying for. If a successful tidal technology is found, it will not be owned by NSPI or a sister company, which are no longer trying to perfect the technology.

This is not to suggest that NSPI would misrepresent the alternatives. But they can tilt the discussion in their favour. How tough will they be negotiating for additional Muskrat Falls power when it hurts their profits? Arguing for premature coal retirement on environmental grounds is fair game but whether the cost should be accepted is a political choice. 

NSPI is in a conflict of interest. We need a different process. An independent body should author the integrated resource plan. They should be fully informed about NSPI’s views.

They should communicate directly with Newfoundland and Labrador for Muskrat power, with independent wind producers, and with tidal power companies. The UARB cannot do any of these things.

The resulting plan should undergo the same UARB review that NSPI’s version would. This enhances the likelihood that Nova Scotians will get the least-cost alternative.

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CER Interactive Electricity Bill Tool compares provincial electricity prices, fees, taxes, and usage. Explore household appliance costs, hydroelectric generation, and consumption trends across Canada with interactive calculators and a province-by-province breakdown.

Key Points

An online CER report with calculators comparing electricity prices, fees, and usage to explain household energy costs.

✅ Province-by-province bill, price, and consumption comparison

✅ Calculator for appliance and electronics energy costs

✅ Explains fees, taxes, regulation, and generation sources

Canadians have a new way to assess their electricity bill in a new, interactive online report released by the Canada Energy Regulator (CER).

The report titled What is in a residential electricity bill? features a province-to-province comparison of electricity bills, generation and consumption. It also explains electricity prices across the country, including how Calgary electricity prices have changed, allowing people to understand why costs vary depending on location, fees, regulation and taxes.  

Learn how fees and usage impacts your electricity bill in new online CER tool
Interactive tools allow people to calculate the cost of household appliances and electronic use for each province and territory, and to understand how Ontario rate increases may affect monthly bills. For example, an individual can use the tools to find out that leaving a TV on for 24-hours in Quebec costs $5.25 per month, while that same TV on for a whole day would cost $12.29 per month in Saskatchewan, $20.49 per month in the Northwest Territories, and $15.30 per month in Nova Scotia.

How Canadians use energy varies as much as how provinces and territories produce it, especially in regions like Nunavut where unique conditions influence costs. Millions of Canadians rely on electricity to power their household appliances, charge their electronics, and heat their homes. Provinces with abundant hydro-electric resources like Quebec, B.C., Manitoba, and Newfoundland and Labrador use electricity for home heating and tend to consume the most electricity.

By gathering data from various sources, this report is the first Canadian publication that features interactive tools to allow for a province-by-province comparison of electricity bills while highlighting different elements within an electricity bill, a helpful context as Canada faces a critical supply crunch in the years ahead.

The CER monitors energy markets and assesses Canadian energy requirements and trends, including clean electricity regulations developments that shape pricing. This report is part of a portfolio of publications on energy supply, demand and infrastructure that the CER publishes regularly as part of its ongoing market monitoring.

"No matter where you go in the country, Canadians want to know how much they pay for power and why, especially amid price spikes in Alberta this year," says lead author Colette Craig. "This innovative, interactive report really explains electricity bills to help everyone understand electricity pricing and consumption across Canada."

Quick Facts

• Quebec ranks first in electricity consumption per capita at 21.0 MW.h, followed by Saskatchewan at 20.0 MW.h, Newfoundland and Labrador at 19.3 MW.h.
• About 95% of Quebec's electricity is produced from hydroelectricity.
• Provinces that use electricity for home heating tend to consume the most electricity.
• Canada's largest consuming sector for electricity was industrial at 238 TW.h. The residential and commercial sectors consumed 168 TW.h and 126 TW.h, respectively.
• In 2018, Canada produced 647.7 terawatt hours (TW.h) of electricity. More than half of the electricity in Canada (61%) is generated from hydro sources. The remainder is produced from a variety of sources, such as fossil fuels (natural gas and petroleum), nuclear, wind, coal, biomass, solar.
• Canada is a net exporter of electricity. In 2019, net exports to the U.S. electricity market totaled 47.0 TW.h.
• The total value of Canada's electricity exports was $2.5 billion Canadian dollars and the value of imports was $0.6 billion Canadian dollars, resulting in 2019 net exports of $1.9 billion.
• All regions in Canada are reflected in this report but it does not include data that reflects the COVID-19 lockdown and its effects on residential electricity bills.
   

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Quebec Ice Storm 2025 disrupted power across Laurentians and Lanaudiere as freezing rain downed lines; Hydro-QuE9bec crews accelerated grid restoration, emergency response, and infrastructure resilience amid ongoing outages and severe weather alerts.

Key Points

Quebec Ice Storm 2025 brought freezing rain, outages, and grid damage, hitting Laurentians and Lanaudiere hardest.

✅ Peak: 62,000 Hydro-QuE9bec customers without electricity

✅ Most outages in Laurentians and Lanaudiere regions

✅ Crews repairing lines; restoration updates ongoing

A significant weather event struck Quebec in late March 2025, as a powerful ice storm caused widespread power outages across the province. The storm led to extensive power outages, affecting tens of thousands of residents, particularly in the Lanaudière and Laurentians regions. ​

Impact on Power Infrastructure

The freezing rain accumulated on power lines and vegetation, leading to numerous power outages across the network. Hydro-Québec reported that at its peak, over 62,000 customers were without electricity, with the majority of outages concentrated in the Laurentians and Lanaudière regions. By the afternoon, the number decreased to approximately 30,000, and further to just under 18,500 by late afternoon. 

Comparison with Previous Storms

While the March 2025 ice storm caused significant disruptions, it was less severe compared to the catastrophic ice storm of April 2023, which left 1.1 million Hydro-Québec customers without power. Nonetheless, the 2025 storm's impact was considerable, leading to the closure of municipal facilities and posing challenges for local economies, a pattern echoed when Toronto outages persisted for hundreds after a spring storm.

Ongoing Challenges

As of April 1, 2025, some areas continued to experience power outages, and incidents such as a manhole fire left thousands without service in separate cases. Hydro-Québec and municipal authorities worked diligently to restore services and address the aftermath of the storm, while Hydro One crews restored power to more than 277,000 customers after damaging storms in Ontario. Residents were advised to stay updated through official channels for restoration timelines and safety information.

Future Preparedness

The recurrence of such severe weather events highlights the importance of robust infrastructure and emergency preparedness, as seen in BC Hydro's storm response to an 'atypical' event that demanded extensive coordination. Both utility companies and residents must remain vigilant, especially during seasons prone to unpredictable weather patterns, with local utilities like Sudbury Hydro crews working to reconnect service after regional storms.

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DOE Environmental Management Funding Boost seeks $7.25B to accelerate nuclear cleanup, upgrade Savannah River Site infrastructure, create jobs, and support small businesses, echoing ARRA 2009 results and expediting DOE EM waste remediation nationwide.

Key Points

A proposed $7.25B stimulus for DOE's EM to accelerate nuclear cleanup, modernize infrastructure, and create jobs.

✅ $7.25B one-time stimulus for DOE EM cleanup and infrastructure.

✅ Targets Savannah River Site; supports jobs and small businesses.

✅ Builds on ARRA 2009; accelerates nuclear waste remediation.

A bloc of local governments and nuclear industry, nuclear innovation efforts, labor and community groups are pressing Congress to provide a one-time multibillion-dollar boost to the U.S. Department of Energy Office of Environmental Management, the remediation-focused Savannah River Site landlord.

The organizations and officials -- including Citizens For Nuclear Technology Awareness Executive Director Jim Marra and Savannah River Site Community Reuse Organization President and CEO Rick McLeod -- sent a letter Friday to U.S. House and Senate leadership "strongly" supporting a $7.25 billion funding injection, even as ACORE challenges coal and nuclear subsidies in separate regulatory proceedings, arguing it "will help reignite the national economy," help revive small businesses and create thousands of new jobs despite the novel coronavirus crisis.

More than 30 million Americans have filed unemployment claims in the past two months, with additional clean energy job losses reported, too. Hundreds of thousands of claims have been filed in South Carolina since mid-March, compounding issues like unpaid utility bills in neighboring states.

The requested money could, too, speed Environmental Management's nuclear waste cleanup missions and be used to fix ailing infrastructure and strengthen energy security for rural communities nationwide -- some of which dates back to the Cold War -- at sites across the country. That's a "rare" opportunity, reads the letter, which prominently features the Energy Communities Alliance logo and its chairman's signature.

Similar funding programs, like what was done with the 2009 American Recovery and Reinvestment Act and recent clean energy funding initiatives, have been successful.

At the time, amid a staggering economic downturn nationwide, Environmental Management contractors "hired over 20,000 new workers," putting them "to work to reduce the overall cleanup complex footprint by 688 square miles while strengthening local economies," the Friday letter reads.

The Energy Department's cleanup office estimates the $6 billion investment years ago reduced its environmental liability by $13 billion, according to a 2012 report.

Such a leap forward, the coalition believes, is repeatable, a view reflected in current plans to revitalize coal communities with clean energy projects across the country.

"We are confident that DOE can successfully manage increased funding and leverage it for future economic development as it has in the past," the letter states. It continues: "We take pride in working together to support jobs and development of infrastructure and work that make our country stronger and assists us to recover from the impacts of COVID-19."

As of Monday afternoon, 8,942 cases of COVID-19, the disease caused by the novel coronavirus, have been logged in South Carolina. Aiken County is home to 155 of those cases.

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