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US Summer Grid Blackout Risk: NERC and FERC warn of strained reliability as drought, heat waves, and transmission constraints hit MISO, hydro, and renewables, elevating blackout exposure and highlighting demand response and storage solutions.

Key Points

A forecast of summer power shortfalls across the US grid, driven by heat, drought, transmission limits, and a changing resource mix.

✅ NERC and FERC warn of elevated blackout risk and reliability gaps.

✅ MISO region strained by drought, heat, and limited hydro.

✅ Mitigations: demand response, storage, and stronger transmission.

Just when it didn’t seem things couldn’t get worse — gasoline at $5 to $8 a gallon, supply shortages in everything from baby formula to new cars — comes the devastating news that many of us will endure electricity blackouts this summer, and that the U.S. has more blackouts than other developed nations according to one study.

The alarm was sounded by the nonprofit North American Electric Reliability Corp. and the Federal Energy Regulatory Commission, following a recent power grid report card highlighting vulnerabilities.

The North American electric grid is the largest machine on earth and the most complex, incorporating everything from the wonky pole you see at the roadside with a bird’s nest of wires to some of the most sophisticated engineering ever devised. It runs in real-time, even more so than the air traffic control system: All the airplanes in the sky don’t have to land at the same time, but electricity must be there at the flick of every switch.

Except it may not always be there this summer. Rod Kuckro, a respected energy journalist, says it depends on Mother Nature, with extreme weather impacts increasingly straining the grid, but the prognosis isn’t good.

Speaking on “White House Chronicle,” the weekly news and public affairs program on PBS that I host and produce, Kuckro said: “There is a confluence of factors that could affect energy supply across the majority of the (lower) 48 states. These are continued reduced hydroelectric production in the West, and the continued drought in the Southwest.”

The biggest threat to power supply, according to the NERC and the FERC, is in the vast central region, reaching from Manitoba in Canada, where grids are increasingly exposed to harsh weather in recent years, down to the Gulf of Mexico. It is served by the regional transmission organization, the Midcontinent Independent System Operator.

These operational entities are nonprofit companies that organize and distribute their regions’ bulk power for utilities. In California, it is the California Independent System Operator, working to keep the lights on as the state enters a new energy era; in the Mid-Atlantic, it is PJM; and in the Northeast, it is the New England System Independent Operator. They generate no power, but they control power flows and could initiate brownouts and blackouts.

With record storm activity and high temperatures predicted this summer, blackouts are likely to be deadly. The old, the young and the sick are all vulnerable. If the electric supply fails, with it goes everything from air conditioning to refrigeration to lights and even the ability to pump gas or access money from ATMs.

The United States, along with other modern nations, runs on electricity and when that falls short, it is catastrophic. It is chaos writ large, especially if the failure lasts more than a few hours.

On the same episode of “White House Chronicle,” Daniel Brooks, vice president of integrated grid and energy systems at the Electric Power Research Institute, also referred to a “confluence of factors” contributing to the impending electricity crisis. Brooks said, “We’re going through a significant change in terms of the energy mix and resources, and the way those resources behave under certain weather conditions.”

If power supply is stressed this summer, change in the generating mix will get a lot of political attention. At heart is the switch from fossil fuel generation to renewables. If there are power outages, a political storm will ensue. The Biden administration will be accused of speeding the switch to renewables, although the utilities don’t say that.

The weather is deteriorating, and, as experts note, the grid’s biggest challenge isn’t demand but climate change pressures that compound risks, and the grid is stretched in dealing with new realities as well as coping with old bugaboos, like the extreme difficulty in building transmission lines. Better transmission would relieve a lot of grid stress.

Peter Londa, president of Tantalus Systems, which helps its 260 utility customers digitize and cope with the new realities, explained some of the difficulties facing the utilities not only in the shifting sources of generation but also in the new shape of the electric demand. For example, he said, electric vehicles, particularly the much-awaited Ford F-150 Lightning pickup, could be an asset to homeowners and utilities, as California increasingly turns to batteries to stabilize its grid. During a blackout, their EVs could be used to power their homes for days. They could be a source of storage if thousands of owners signed up with their utilities in a storage program.

The fact is that utilities are facing three major shifts: in the generation to wind and solar, in customer demand, and especially in weather. Mother Nature is on a rampage and we all must adjust to that.
 

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Texas Electric Cooperatives outperformed during Winter Storm Uri, with higher customer satisfaction, equitable rolling blackouts, and stronger grid reliability compared to deregulated markets, according to ERCOT-area survey data of regulated utilities and commercial providers.

Key Points

Member-owned utilities in Texas delivering power, noted for reliability and fair outages during Winter Storm Uri.

✅ Member-owned, regulated utilities serving local communities

✅ Rated higher for blackout management and communication

✅ Operate outside deregulated markets; align incentives with users

Winter Storm Uri began to hit parts of Texas on February 13, 2021 and its onslaught left close to 4.5 million Texas homes and businesses without power, and many faced power and water disruptions at its peak. By some accounts, the preliminary number of deaths attributed to the storm is nearly 200, and the economic toll for the Lone Star State is estimated to be as high as $295 billion. 

The more than two-thirds of Texans who lost power during this devastating storm were notably more negative than positive in their evaluation of the performance of their local electric utility, mirrored by a rise in electricity complaints statewide, with one exception. That exception are the members of the more than 60 electric cooperatives operating within the Texas Interconnection electrical grid, which, in sharp contrast to the customers of the commercial utilities that provide power to the majority of Texans, gave their local utility a positive evaluation related to its performance during the storm.

In order to study Winter Storm Uri’s impact on Texas, the Hobby School of Public Affairs at the University of Houston conducted an online survey during the first half of March of residents 18 and older who live in the 213 counties (91.5% of the state population) served by the Texas power grid, which is managed by the Electric Reliability Council of Texas (ERCOT). 

Three-quarters of the survey population (75%) live in areas with a deregulated utility market, where a specified transmission and delivery utility by region is responsible for delivering the electricity (purchased from one of a myriad of private companies by the consumer) to homes and businesses. The four main utility providers are Oncor, CenterPoint CNP -2.2%, American Electric Power (AEP) North, and American Electric Power (AEP) Central. 

The other 25% of the survey population live in areas with regulated markets, where a single company is responsible for both delivering the electricity to homes and businesses and serves as the only source from which electricity is purchased. Municipal-owned and operated utilities (e.g., Austin Energy, Bryan Texas Utilities, Burnet Electric Department, Denton Municipal Electric, New Braunfels Utilities, San Antonio’s CPS Energy CMS -2.1%) serve 73% of the regulated market. Electric cooperatives (e.g., Bluebonnet Electric Cooperative, Central Texas Electric Cooperative, Guadalupe Valley Cooperative, Lamb County Electric Cooperative, Pedernales Electricity Cooperative, Wood County Electric Cooperative) serve one-fifth of this market (21%), with private companies accounting for 6% of the regulated market.

The overall distribution of the survey population by electric utility providers is: Oncor (38%), CenterPoint (21%), municipal-owned utilities (18%), AEP Central & AEP North combined (12%), electric cooperatives (6%), other providers in the deregulated market (4%) and other providers in the regulated market (1%). 

There were no noteworthy differences among the 31% of Texans who did not lose power during the winter storm in regard to their evaluations of their local electricity provider or their belief that the power cuts in their locale were carried out in an equitable manner.  

However, among the 69% of Texans who lost power, those served by electric cooperatives in the regulated market and those served by private electric utilities in the deregulated market differed notably regarding their evaluation of the performance of their local electric utility, both in regard to their management of the rolling blackouts, amid debates over market reforms to avoid blackouts, and to their overall performance during the winter storm. Those Texans who lost power and are served by electric cooperatives in a regulated market had a significantly more positive evaluation of the performance of their local electric utility than did those Texans who lost power and are served by a private company in a deregulated electricity market. 

For example, only 24% of Texans served by electric cooperatives had a negative evaluation of their local electric utility’s overall performance during the winter storm, compared to 55%, 56% and 61% of those served by AEP, Oncor and CenterPoint respectively. A slightly smaller proportion of Texans served by electric cooperatives (22%) had a negative evaluation of their local electric utility’s performance managing the rolling blackouts during the winter storm, compared to 58%, 61% and 71% of Texans served by Oncor, AEP and CenterPoint, respectively.

Texans served by electric cooperatives in regulated markets were more likely to agree that the power cuts in their local area were carried out in an equitable manner compared to Texans served by commercial electricity utilities in deregulated markets. More than half (52%) of those served by an electric cooperative agreed that power cuts during the winter storm in their area were carried out in an equitable manner, compared to only 26%, 23% and 23% of those served by Oncor, AEP and CenterPoint respectively

The survey data did not allow us to provide a conclusive explanation as to why the performance during the winter storm by electric cooperatives (and to a much lesser extent municipal utilities) in the regulated markets was viewed more favorably by their customers than was the performance of the private companies in the deregulated markets viewed by their customers. Yet here are three, far from exhaustive, possible explanations.

First, electric cooperatives might have performed better (based on objective empirical metrics) during the winter storm, perhaps because they are more committed to their customers, who are effectively their bosses. .  

Second, members of electric cooperatives may believe their electric utility prioritizes their interests more than do customers of commercial electric utilities and therefore, even if equal empirical performance were the case, are more likely to rate their electric utility in a positive manner than are customers of commercial utilities.  

Third, regulated electric utilities where a single entity is responsible for the commercialization, transmission and distribution of electricity might be better able to respond to the type of challenges presented by the February 2021 winter storm than are deregulated electric utilities where one entity is responsible for commercialization and another is responsible for transmission and distribution, aligning with calls to improve electricity reliability across Texas.

Other explanations for these findings may exist, which in addition to the three posited above, await future empirical verification via new and more comprehensive studies designed specifically to study electric cooperatives, large commercial utilities, and the incentives that these entities face under the regulatory system governing production, commercialization and distribution of electricity, including rulings that some plants are exempt from providing electricity in emergencies under state law. 

Still, opinion about electricity providers during Winter Storm Uri is clear: Texans served by regulated electricity markets, especially by electric cooperatives, were much more satisfied with their providers’ performance than were those in deregulated markets. Throughout its history, Texas has staunchly supported the free market. Could Winter Storm Uri change this propensity, or will attempts to regulate electricity lessen as the memories of the storm’s havoc fades? With a hotter summer predicted to be on the horizon in 2021 and growing awareness of severe heat blackout risks, we may soon get an answer.   

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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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Amur-Heihe ETL Power Supply Tripling will expand Russia-China electricity exports, extending 750 MW DC full-load hours to stabilize northeast China grids amid coal shortages, peak demand spikes, and cross-border energy security concerns.

Key Points

Russia will triple electricity via Amur-Heihe ETL, boosting 750 MW DC operations to relieve shortages in northeast China.

✅ 500 kV converter station increases full-load hours from 5 to 16

✅ Supports Heilongjiang, Liaoning, and Jilin grids amid coal shortfall

✅ Cross-border 750 MW DC link enhances reliability, peak demand coverage

Russia will triple electricity supplies via the Amur-Heihe electric transmission line (ETL) starting October 1, China Central Television has reported, a move seen within broader shifts in China's electricity sector by observers.

"Starting October 1, the overhead convertor substation of 500 kW (750 MW DC) will increase its daily time of operation with full loading from 5 to 16 hours per day," the TV channel said.

"This measure will make it possible to dramatically ease the situation with the electricity supply," the report said. Electricity from this converting station is used in three northeastern provinces of China - Heilongjiang, Liaoning and Jilin, while regional markets are strained as India rations coal supplies amid surging demand today. In 29 years, Russia supplied over 30 bln kilowatt hours of electricity, according to the channel.

The Amur-Heihe overhead transnational power line was constructed for increasing electricity exports to China, where projections see electricity to meet 60% of energy use by 2060 according to Shell. It was commissioned in 2012. Its maximum capacity is 750 MW.

China’s Jiemian News reported on September 27 that, amid nationwide power cuts affecting grids, 20 regions were limited in electricity supplies to a various extent due to the ongoing coal deficit. In particular, in China’s northeastern provinces, restrictions on power consumption were imposed not only on industrial enterprises, but also on households, as well as on office premises, raising concerns for U.S. solar supply chains among downstream manufacturers.

Later, China’s financial media Zhongxin Jingwei noted that the coal deficit had been triggered by price hikes brought on by tightened national environmental standards and efforts to reduce coal power production across the country. Reduced coal imports amid disruptions in the work of foreign suppliers due to the coronavirus pandemic was an additional reason, and earlier power demand drops as factories shuttered compounded imbalances.
 

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Mexico Energy Reform Defeat underscores opposition unity as CFE-first rules, state regulators, and lithium nationalization falter amid USMCA concerns, investment risks, and clean energy transition impacts in Congress over power generation policy.

Key Points

The failed push to expand CFE control, flagged for USMCA risks, higher costs, regulator shifts, and slower clean energy transition.

✅ Bill to mandate 54% CFE generation and priority dispatch failed.

✅ Opposition cited USMCA breaches, higher prices, slower clean energy.

✅ Lithium nationalization to return via separate legislation.

Mexican President Andres Manuel Lopez Obrador's plan to increase state control of power generation was defeated in parliament on Sunday, as opposition parties united in the face of a bill they said would hurt investment and breach international obligations, concerns mirrored by rulings such as the Florida court on electricity monopolies that scrutinize market concentration.

His National Regeneration Movement (MORENA) and its allies fell nearly 60 votes short of the two-thirds majority needed in the 500-seat lower house of Congress, mustering just 275 votes after a raucous session that lasted more than 12 hours.

Seeking to roll back previous constitutional reforms that liberalized the electricity market, Lopez Obrador's proposed changes would have done away with a requirement that state-owned Comision Federal de Electricidad (CFE) sell the cheapest electricity first, a move reminiscent of debates when energy groups warned on pricing changes under federal proposals, allowing it to sell its own electricity ahead of other power companies.

Under the bill, the CFE would also have been set to generate a minimum of 54% of the country's total electricity, and energy regulation would have been shifted from independent bodies to state regulators, paralleling concerns raised when a Calgary retailer opposed a market overhaul over regulatory impacts.

The contentious proposals faced much criticism from business groups and the United States, Mexico's top trade partner as well as other allies who argued it would violate the regional trade deal, the United States-Mexico-Canada Agreement (USMCA), even as the USA looks to Canada for green power to deepen cross-border energy ties.

Lopez Obrador had argued the bill would have protected consumers and made the country more energy independent, echoing how Texas weighs market reforms to avoid blackouts to bolster reliability, saying the legislation was vital to his plans to "transform" Mexico.

Although the odds were against his party, he came into the vote seeking to leverage his victory in last weekend's referendum on his leadership.

Speaking ahead of the vote, Jorge Alvarez Maynez, a lawmaker from the opposition Citizens' Movement party, said the proposals, if enacted, would damage Mexico, pointing to experiences like the Texas electricity market bailout after a severe winter storm as cautionary examples.

"There isn't a specialist, academic, environmentalist or activist with a smidgen of doubt - this bill would increase electricity prices, slow the transition to (clean) energy in our country and violate international agreements," he added.

Supporters of clean-energy goals noted that subnational shifts, such as the New Mexico 100% clean electricity bill can illustrate alternative pathways to reform.

The bill also contained a provision to nationalize lithium resources.

Lopez Obrador said this week that if the bill was defeated, he would send another bill to Congress on Monday aiming to have at least the lithium portion of the proposed legislation passed.

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Toronto Electricity Demand Growth underscores IESO projections of rising peak load by 2050, driven by population growth, electrification, new housing density, and tech economy, requiring grid modernization, transmission upgrades, demand response, and local renewable energy.

Key Points

It refers to the projected near-doubling of Toronto's peak load by 2050, driven by electrification and urban growth.

✅ IESO projects peak demand nearly doubling by 2050

✅ Drivers: population, densification, EVs, heat pumps

✅ Solutions: efficiency, transmission, storage, demand response

Toronto faces a significant challenge in meeting the growing electricity needs of its expanding population and ambitious development plans. According to a new report from Ontario's Independent Electricity System Operator (IESO), Toronto's peak electricity demand is expected to nearly double by 2050. This highlights the need for proactive steps to secure adequate electricity supply amidst the city's ongoing economic and population growth.

Key Factors Driving Demand

Several factors are contributing to the projected increase in electricity demand:

Population Growth: Toronto is one of the fastest-growing cities in North America, and this trend is expected to continue. More residents mean more need for housing, businesses, and other electricity-consuming infrastructure.

• New Homes and Density: The city's housing strategy calls for 285,000 new homes within the next decade, including significant densification in existing neighbourhoods. High-rise buildings in urban centers are generally more energy-intensive than low-rise residential developments.
• Economic Development: Toronto's robust economy, a hub for tech and innovation, attracts new businesses, including energy-intensive AI data centers that fuel further demand for electricity.
• Electrification: The push to reduce carbon emissions is driving the electrification of transportation and home heating, further increasing pressure on Toronto's electricity grid.

Planning for the Future

Ontario and the City of Toronto recognize the urgency to secure stable and reliable electricity supplies to support continued growth and prosperity without sacrificing affordability, drawing lessons from British Columbia's clean energy shift to inform local approaches. Officials are collaborating to develop a long-term plan that focuses on:

• Energy Efficiency: Efforts aim to reduce wasteful electricity usage through upgrades to existing buildings, promoting energy-efficient appliances, and implementing smart grid technologies. These will play a crucial role in curbing overall demand.
• New Infrastructure: Significant investments in building new electricity generation, transmission lines, and substations, as well as regional macrogrids to enhance reliability, will be necessary to meet the projected demands of Toronto's future.
• Demand Management: Programs incentivizing energy conservation during peak hours will help to avoid strain on the grid and reduce the need to build expensive power plants only used at peak demand times.

Challenges Ahead

The path ahead isn't without its hurdles.  Building new power infrastructure in a dense urban environment like Toronto can be time-consuming, expensive, and sometimes disruptive, especially as grids face harsh weather risks that complicate construction and operations. Residents and businesses might worry about potential rate increases required to fund these necessary investments.

Opportunity for Innovation

The IESO and the city view the situation as an opportunity to embrace innovative solutions. Exploring renewable energy sources within and near the city, developing local energy storage systems, and promoting distributed energy generation such as rooftop solar, where power is created near the point of use, are all vital strategies for meeting needs in a sustainable way.

Toronto's electricity future depends heavily on proactive planning and investment in modernizing its power infrastructure.  The decisions made now will determine whether the city can support economic growth, address climate goals and a net-zero grid by 2050 ambition, and ensure that lights stay on for all Torontonians as the city continues to expand.
 

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