Germans to profit from British wind boom

California Duck Curve highlights midday solar oversupply and steep evening peak demand, stressing grid stability. Solutions include battery storage, demand response, diverse renewables like wind, geothermal, nuclear, and regional integration to reduce curtailment.

Key Points

A mismatch between midday solar surplus and evening demand spikes, straining the grid without storage and flexibility.

✅ Midday solar oversupply forces curtailment and wasted clean energy.

✅ Evening ramps require fast, fossil peaker plants to stabilize load.

✅ Batteries, demand response, regional trading flatten the curve.

California's remarkable success in adopting solar power, including a near-100% renewable milestone, has created a unique challenge: managing the infamous "duck curve." This distinctive curve illustrates a growing mismatch between solar electricity generation and the state's energy demands, creating potential problems for grid stability and ultimately threatening to slow California's progress in the fight against climate change.

The Shape of the Problem

The duck curve arises from a combination of high solar energy production during midday hours and surging energy demand in the late afternoon and evening when solar power declines. During peak solar hours, the grid often has an overabundance of electricity, and curtailments are increasing as a result, while as the sun sets, demand surges when people return home and businesses ramp up operations. California's energy grid operators must scramble to make up this difference, often relying on fast-acting but less environmentally friendly power sources.

The Consequences of the Duck Curve

The increasing severity of the duck curve has several potential consequences for California:

• Grid Strain: The rapid ramp-up of power sources to meet evening demand puts significant strain on the electrical grid. This can lead to higher operational costs and potentially increase the risk of blackouts during peak demand times.
• Curtailed Energy: To avoid overloading the grid, operators may sometimes have to curtail excess solar energy during midday, as rising curtailment reports indicate, essentially wasting clean electricity that could have been used to displace fossil fuel generation.
• Obstacle to More Solar: The duck curve can make it harder to add new solar capacity, as seen in Alberta's solar expansion challenges, for fear of further destabilizing the grid and increasing the need for fossil fuel-based peaking plants.

Addressing the Challenge

California is actively seeking solutions to mitigate the duck curve, aligning with national decarbonization pathways that emphasize practicality. Potential strategies include:

• Energy Storage: Deploying large-scale battery storage can help soak up excess solar electricity during the day and release it later when demand peaks, smoothing out the duck curve.
• Demand Flexibility: Encouraging consumers to shift their energy use to off-peak hours through incentives and smart grid technologies can help reduce late-afternoon surges in demand.
• Diverse Power Sources: While solar is crucial, a balanced mix of energy sources, including geothermal, wind, and nuclear, can improve grid stability and reduce reliance on rapid-response fossil fuel plants.
• Regional Cooperation: Integrating California's grid with neighboring states can aid in balancing energy supply and demand across a wider geographical area.

The Ongoing Solar Debate

The duck curve has become a central point of debate about the future of California's energy landscape. While acknowledging the challenge, solar advocates argue for continued expansion, backed by measures like a bill to require solar on new buildings, emphasizing the urgent need to transition away from fossil fuels. Grid operators and some utility companies call for a more cautious approach, emphasizing grid reliability and potential costs if the problem isn't effectively managed.

Balancing California's Needs and its Green Ambitions

Finding the right path forward is essential; it will determine whether California can continue to lead the way in solar energy adoption while ensuring a reliable and affordable electricity supply. Successfully navigating the duck curve will require innovation, collaboration, and a strong commitment to building a sustainable energy system, as wildfire smoke impacts on solar continue to challenge generation predictability.

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Ontario Poised to Miss 2030 Emissions Target highlights how rising greenhouse gas emissions from electricity generation and natural gas power plants threaten Ontario’s climate goals, environmental sustainability, and clean energy transition efforts amid growing economic and policy challenges.

Why is Ontario Poised to Miss 2030 Emissions Target?

Ontario Poised to Miss 2030 Emissions Target examines the province’s setback in meeting climate goals due to higher power-sector emissions and shifting energy policies.

✅ Rising greenhouse gas emissions from gas-fired electricity generation

✅ Climate policy uncertainty and missed environmental targets

✅ Balancing clean energy transition with economic pressures

Ontario’s path toward meeting its 2030 greenhouse gas emissions target has taken a sharp turn for the worse, according to internal government documents obtained by Global News. The province, once on track to surpass its reduction goals, is now projected to miss them—largely due to rising emissions from electricity generation, even as the IEA net-zero electricity report highlights rising demand nationwide.

In October 2024, the Ford government’s internal analysis indicated that Ontario was on track to reduce emissions by 28 percent below 2005 levels by 2030, effectively exceeding its target. But a subsequent update in January 2025 revealed a grim reversal. The new forecast showed an increase of about eight megatonnes (Mt) of emissions compared to the previous model, with most of the rise attributed to the province’s energy policies.

“This forecast is about 8 Mt higher than the October 2024 forecast, mainly due to higher electricity sector emissions that reflect the latest ENERGY/IESO energy planning and assumptions,” the internal document stated.

While the analysis did not specify which policy shifts triggered the change, experts point to Ontario’s growing reliance on natural gas. The use of gas-fired power plants has surged to fill temporary gaps created by nuclear refurbishment projects and other grid constraints, even as renewable energy’s role grows. In fact, natural gas generation in early 2025 reached its highest level since 2012.

The internal report cited “changing electricity generation,” nuclear power refurbishment, and “policy uncertainty” as major risks to achieving the province’s climate goals. But the situation may be even worse than the government’s updated forecast suggests.

On Wednesday, Ontario’s auditor general warned that the January projections were overly optimistic. The watchdog’s new report concluded the province could fall even further behind its 2030 emissions target, noting that reductions had likely been overestimated in several sectors, including transportation—such as electric vehicle sales—and waste management. “An even wider margin” of missed goals was now expected, the auditor said.

Environment Minister Todd McCarthy defended the government’s position, arguing that climate goals must be balanced against economic realities. “We cannot put families’ financial, household budgets at risk by going off in a direction that’s not achievable,” McCarthy said.

The minister declined to commit to new emissions targets beyond 2030—or even to confirm that the existing goals would be met—but insisted efforts were ongoing. “We are continuing to meet our commitment to at least try to meet our commitment for the 2030 target,” he told reporters. “But targets are not outcomes. We believe in achievable outcomes, not unrealistic objectives.”

Environmental advocates warn that Ontario’s reliance on fossil-fuel generation could lock the province into higher emissions for years, undermining national efforts to decarbonize Canada’s electricity grid. With cleaning up Canada’s electricity expected to play a central role in both industrial growth and climate action, the province’s backslide represents a significant setback for Canada’s overall emissions strategy.

Other provinces face similar challenges; for example, B.C. is projected to miss its 2050 targets by a wide margin.

As Ontario weighs its next steps, the tension between energy security, affordability, and environmental responsibility continues to define the province’s path toward a lower-carbon future and Canada’s 2050 net-zero target over the long term.

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Canada 100% Renewable Power by 2035 envisions a decentralized grid built on wind, solar, energy storage, and efficiency, delivering zero-emission, resilient, low-cost electricity while phasing out nuclear and gas to meet net-zero targets.

Key Points

Zero-emission, decentralized grid using wind, solar, and storage, plus efficiency, to retire fossil and nuclear by 2035.

✅ Scale wind and solar 18x with storage for reliability.

✅ Phase out nuclear and gas; no CCS or offsets needed.

✅ Modernize grids and codes; boost efficiency, jobs, and affordability.

A powerful derecho that left nearly a million people without power in Ontario and Quebec on May 21 was a reminder of the critical importance of electricity in our daily lives.

Canada’s electrical infrastructure could be more resilient to such events, while being carbon-emission free and provide low-cost electricity with a decentralized grid powered by 100 per cent renewable energy, according to a new study from the David Suzuki Foundation (DSF), a vision of an electric, connected and clean future if the country chooses.

This could be accomplished by 2035 by building a lot more solar and wind, despite indications that demand for solar electricity has lagged in Canada, adding energy storage, while increasing the energy efficiency in buildings, and modernizing provincial energy grids. As this happens, nuclear energy and gas power would be phased out. There would also be no need for carbon capture and storage nor carbon offsets, the modeling study concluded.

“Solar and wind are the cheapest sources of electricity generation in history,” said study co-author Stephen Thomas, a mechanical engineer and climate solutions policy analyst at the DSF.

“There are no technical barriers to reaching 100 per cent zero-emission electricity by 2035 nationwide,” Thomas told The Weather Network (TWN). However, there are considerable institutional and political barriers to be overcome, he said.

Other countries face similar barriers and many have found ways to reduce their emissions; for example, the U.S. grid's slow path to 100% renewables illustrates these challenges. There are enormous benefits including improved air quality and health, up to 75,000 new jobs annually, and lower electricity costs. Carbon emissions would be reduced by 200 million tons a year by 2050, just over one quarter of the reductions needed for Canada to meet its overall net zero target, the study stated.

Building a net-zero carbon electricity system by 2035 is a key part of Canada’s 2030 Emissions Reduction Plan. Currently over 80 per cent of the nation’s electricity comes from non-carbon sources including a 15 per cent contribution from nuclear, with solar capacity nearing a 5 GW milestone nationally. How the final 20 per cent will be emission-free is currently under discussion.

The Shifting Power study envisions an 18-fold increase in wind and solar energy, with the Prairie provinces expected to lead growth, along with a big increase in Canada’s electrical generation capacity to bridge the 20 per cent gap as well as replacing existing nuclear power.

The report does not see a future role for nuclear power due to the high costs of refurbishing existing plants, including the challenges with disposal of radioactive wastes and decommissioning plants at their end of life. As for the oft-proposed small modular nuclear reactors, their costs will likely “be much more costly than renewables,” according to the report.

There are no technical barriers to building a bigger, cleaner, and smarter electricity system, agrees Caroline Lee, co-author of the Canadian Climate Institute’s study on net-zero electricity, “The Big Switch” released in May. However, as Lee previously told TWN, there are substantial institutional and political barriers.

In many respects, the Shifting Power study is similar to Lee’s study except it phases out nuclear power, forecasts a reduction in hydro power generation, and does not require any carbon capture and storage, she told TWN. Those are replaced with a lot more wind generation and more storage capacity.

“There are strengths and weaknesses to both approaches. We can do either but need a wide debate on what kind of electricity system we want,” Lee said.

That debate has to happen immediately because there is an enormous amount of work to do. When it comes to energy infrastructure, nearly everything “we put in the ground has to be wind, solar, or storage” to meet the 2035 deadline, she said.

There is no path to net zero by 2050 without a zero-emissions electricity system well before that date. Here are some of the necessary steps the report provided:

Create a range of skills training programs for renewable energy construction and installation as well as building retrofits.

Prioritize energy efficiency and conservation across all sectors through regulations such as building codes.

Ensure communities and individuals are fully informed and can decide if they wish to benefit from hosting energy generation infrastructure.

Create a national energy poverty strategy to ensure affordable access.

Strong and clear federal and provincial rules for utilities that mandate zero-emission electricity by 2035.

For Indigenous communities, make sure ownership opportunities are available along with decision-making power.

Canada should move as fast as possible to 100 per cent renewable energy to gain the benefits of lower energy costs, less pollution, and reduced carbon emissions, says Stanford University engineer and energy expert Mark Jacobson.

“Canada has so many clean, renewable energy resources that it is one of the easier countries [that can] transition away from fossil fuels,” Jacobson told TWN.

For the past decade, Jacobson has been producing studies and technical reports on 100 per cent renewable energy, including a new one for Canada, even as Canada is often seen as a solar power laggard today. The Stanford report, A Solution to Global Warming, Air Pollution, and Energy Insecurity for Canada, says a 100 per cent transition by 2035 timeline is ideal. Where it differs from DSF’s Shifting Power report is that it envisions offshore wind and rooftop solar panels which the latter did not.

“Our report is very conservative. Much more is possible,” agrees Thomas.

“We’re lagging behind. Canadians really want to get going on building solutions and getting the benefits of a zero emissions electricity system.”

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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.

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Russian Utility Grid Cyberattacks reveal DHS findings on Dragonfly/Energetic Bear breaching control rooms and ICS/SCADA via vendor supply-chain spear-phishing, threatening blackouts and critical infrastructure across U.S. power utilities through stolen credentials and reconnaissance.

Key Points

State-backed ops breaching utilities via vendors to reach ICS/SCADA, risking grid disruption and control-room access.

✅ Spear-phishing and watering-hole attacks on vendor networks

✅ Stolen credentials used to reach isolated ICS/SCADA

✅ Potential to trigger localized blackouts and service disruptions

Hackers working for Russia were able to gain access to the control rooms of US electric utilities last year, allowing them to cause blackouts, federal officials tell the Wall Street Journal.

The hackers -- working for a state-sponsored group previously identified as Dragonfly or Energetic Bear -- broke into utilities' isolated networks by hacking networks belonging to third-party vendors that had relationships with the power companies, the Department of Homeland Security said in a press briefing on Monday.

Officials said the campaign had claimed hundreds of victims and is likely continuing, the Journal reported.

"They got to the point where they could have thrown switches" to disrupt the flow power, Jonathan Homer, chief of industrial-control-system analysis for DHS, told the Journal.

"While hundreds of energy and non-energy companies were targeted, the incident where they gained access to the industrial control system was a very small generation asset that would not have had any impact on the larger grid if taken offline," the DHS said in a statement Tuesday. "Over the course of the past year as we continued to investigate the activity, we learned additional information which would be helpful to industry in defending against this threat."

Organizations running the nation's energy, nuclear and other critical infrastructure have become frequent targets for cyberattacks in recent years due to their ability to cause immediate chaos, whether it's starting a blackout or blocking traffic signals. These systems are often vulnerable because of antiquated software and the high costs of upgrading infrastructure.

The report comes amid heightened tension between Russia and the US over cybersecurity, alongside US condemnation of power grid hacking in recent months. Earlier this month, US special counsel Robert Mueller filed charges against 12 Russian hackers tied to cyberattacks on the Democratic National Committee.

Hackers compromised US power utility companies' corporate networks with conventional approaches, such as spear-phishing emails and watering-hole attacks as seen in breaches at power plants across the US that target a specific group of users by infecting websites they're known to visit, the newspaper reported. After gaining access to vendor networks, hackers turned their attention to stealing credentials for access to the utility networks and familiarizing themselves with facility operations, officials said, according to the Journal.

Homeland Security didn't identify the victims, the newspaper reports, adding that some companies may not know they had been compromised because the attacks used legitimate credentials to gain access to the networks.

Cyberattacks on electrical systems aren't an academic matter. In 2016, Ukraine's grid was disrupted by cyberattacks attributed to Russia, which is engaged in territorial disputes with the country over eastern Ukraine and the Crimean peninsula. Russia has denied any involvement in targeting critical infrastructure.

President Donald Trump signed an executive order in May designed to bolster the United States' cybersecurity by protecting federal networks, critical infrastructure and the public online. One section of the order focuses on protecting the grid like electricity and water, as well as financial, health care and telecommunications systems.

The Department of Homeland Security didn't respond to a request for comment.

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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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