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Ontario Electricity Capacity Gap threatens reliability as IESO forecasts shortfalls from the Pickering shutdown and rapid electrification, requiring new low-emission nuclear generation to meet net-zero targets, maintain baseload, and stabilize the grid.

Key Points

Expected 2030 shortfalls from Pickering closure and electrification, requiring new low-emission nuclear to meet net-zero.

✅ IESO projects a 3.6-9.5 GW capacity gap by 2030

✅ Pickering shutdown removes baseload, stressing reliability

✅ New low-emission nuclear needed to meet net-zero targets

Ontario faces an electricity supply shortage and reliability risks in the next four to eight years and will not meet net-zero objectives without building new low-emission, nuclear generation starting as soon as possible, according to a report released yesterday by the Power Workers' Union (PWU). The capacity needed to fill the expected supply gap will be equivalent to doubling the province's planned nuclear fleet in eight years.

The planned closure of the Pickering nuclear power plant in 2025 and the increase in demand from electrification of the economy are the drivers behind a capacity gap in 2030 of at least 3.6 GW which could widen to as much as 9.5 GW, Electrification Pathways for Ontario to Reduce Emissions, finds. Ontario's Independent Electricity System Operator (IESO) has since 2013 been forecasting a significant gap in the province's electricity supply due the closure of Pickering, but has been underestimating the impact of electrification, the report says.

In addition, the electrification of buildings, transport and industry sectors that will be needed to achieve goals of net-zero emissions by 2050 that being set by the federal government and civil society will see the province's electricity demand increase by at least 130% over current planning forecasts, and potentially by over 190%. Leveraging electricity, natural gas and hydrogen synergies can reduce supply needs, but 55 GW of new electricity capacity, including new large-scale nuclear plants, will still be needed by 2050 - four times Ontario's current nuclear and hydro assets - the report finds.

These findings underscore the urgent need for a paradigm shift in Ontario's electricity planning and procurement process, the authors say, adding that immediate action is needed both to mitigate the system reliability risks and enable the significant societal benefits needed to pursue net-zero objectives. Planning for procurement to replace Pickering's capacity, or to pursue life extension options, must begin as soon as possible.

"Policymakers around the world realise climate change can't be tackled without nuclear. Ontario's nuclear fleet has delivered emissions reductions for over 50 years," PWU President Jeff Parnell said. "In fact, without building new nuclear units, Ontario will miss its emission reduction targets and carbon emissions from electricity generation will rise dramatically, as explored in why Ontario's power could get dirtier today."

"This report clearly shows that Ontario cannot sustain the low-carbon status of its hydro and nuclear-based electricity system, decarbonise its economy and meet its carbon reduction targets without new nuclear or continued operation at Pickering in the near term. Most disturbing is the fact that we are already well behind and needed to start planning for this capacity yesterday," he said.

The six operating Candu reactors at Ontario Power Generation's Pickering plant have been kept in operation to provide baseload electricity during the refurbishment of units at the Darlington and Bruce plants. Currently, the company plans to shut down Pickering units 1 and 4 in 2024 and units 5 to 8 in 2025, even as Ontario moves to refurbish Pickering B to extend life.

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Hurricane Michael Statistics track catastrophic wind speed, storm surge, rainfall totals, power outages, evacuations, and fatalities across Florida and the Southeast, detailing Category 4 intensity, Saffir-Simpson scale impacts, and emergency response resources.

Key Points

Hurricane Michael statistics detail wind speed, storm surge, rainfall, outages, and deaths from Category 4 landfall.

✅ 155 mph landfall winds; 14 ft storm surge; 12 in rainfall max

✅ 1.6M without power; 30,000 restoring crews; 6 states emergency

✅ 325k ordered evacuations; 32 deaths; FEMA and Guard deployed

Hurricane Michael, a historic Category 4 storm, struck the Florida Panhandle early Wednesday afternoon, unleashing heavy rain, high winds and a devastating storm surge.

Here is a look at the dangerous storm by the numbers:

155 mph: Wind speed -- nearly the highest possible for a Category 4 hurricane -- with which Michael made landfall near Mexico Beach and Panama City. A hurricane with 157 mph or higher is a Category 5, the strongest on the Saffir-Simpson hurricane wind scale.

129 mph: Peak wind gust reported Wednesday at Tyndall Air Force Base, which is about 12 miles southeast of Panama City, Florida.

32: Number of storm-related deaths attributed to Michael thus far, including an 11-year-old girl who local officials say was killed when part of a metal carport crashed into her family's mobile home in Lake Seminole, Georgia, and a 38-year-old man who was killed when a tree fell onto his moving car in Statesville, North Carolina.

Waves take over a house as Hurricane Michael comes ashore in Alligator Point, Fla., Oct. 10, 2018.

14 feet: Maximum height forecast for the storm surge when Michael's strong winds pushed the ocean water onto land. A storm surge just over 9 feet was reported Wednesday in Apalachicola, Florida.

12 inches: Isolated maximum amount of rain that Michael was expected to dump across the Florida Panhandle and the state's Big Bend region, as well as in southeast Alabama and parts of southwest and central Georgia.

9 inches: Maximum amount of rain that Michael could bring to isolated areas from Virginia to North Carolina.

1.6 million: Number of homes and businesses without power in Florida, Alabama, Georgia, South Carolina, North Carolina and Virginia as of Friday morning, a reminder that extended outages can persist after major disasters.

30,000: Number of workers mobilized from across the country to help restore power, underscoring the risks of field repairs such as line crew injuries during recovery.

6: Number of states that had emergency declarations in anticipation of Michael: Florida, Alabama, Georgia, South Carolina, North Carolina and Virginia.

325,000: Estimated number of people in the storm's path who were told to evacuate by local authorities.

6,000: Approximate number of people who stayed in the roughly 80 shelters across Florida, Alabama, Georgia, South Carolina and North Carolina on Wednesday night, while those sheltering at home were urged to avoid overheated power strips that can spark fires.

3,000: Number of personnel the Federal Emergency Management Agency deployed ahead of landfall, while utilities prepared on-site staffing plans to maintain operations during widespread disruptions.

35: Number of counties in Florida, of the state's 67, where Gov. Rick Scott declared a state of emergency prior to landfall, and grid reliability warnings often underscore systemic risks during national emergencies.

3,500: Number of Florida National Guard troops activated for pre-landfall coordination and planning, with an emphasis on high water and search-and-rescue operations.

600: Number of Florida state troopers assigned to the Panhandle and Big Bend region to assist with response and recovery efforts, including public reminders about downed line safety in affected communities.

500: Number of disaster relief workers that the American Red Cross was sending to affected areas in the Sunshine State.

200: Approximate number of patients being evacuated from at least two hospitals in Florida due to damage from the hurricane, highlighting how critical facilities depend on staff who have raised workforce safety concerns during other crises. Bay Medical Center Sacred Heart in Panama City said in a statement Thursday that its facility was damaged during the storm and thus is transferring more than 200 patients, including 39 who are critically ill, to regional hospitals. Gulf Coast Regional Medical Center, also in Panama City, announced in a statement Thursday that it's evacuating its roughly approximately patients, starting with the most critically ill, "because of the infrastructure challenges in our community."

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Ontario EV Battery Storage ROI leverages V2B, V2G, two-way charging, demand response, and second-life batteries to monetize peak pricing, cut GHG emissions, and unlock up to $38,000 in lifetime value for commuters and buildings.

Key Points

The economic return from V2B/V2G two-way charging and second-life storage using EV batteries within Ontario's grid.

✅ Monetize peak pricing via workplace V2B discharging

✅ Earn up to $8,400 per EV over vehicle life

✅ Reduce gas generation and GHGs with demand response

The payback that usually comes to mind when people buy an electric vehicle is to drive an emissions-free, low-maintenance, better-performing mode of transportation.

On top of that, you can now add $38,000.

That, according to a new report from Ontario electric vehicle education and advocacy nonprofit, Plug‘n Drive, is the potential lifetime return for an electric car driven as a commuter vehicle while also being used as an electricity storage option amid an energy storage crunch in Ontario’s electricity system.

“EVs contain large batteries that store electric energy,” says the report. “Besides driving the car, [those] batteries have two other potentially useful applications: mobile storage via vehicle-to-grid while they are installed in the vehicle, and second-life storage after the vehicle batteries are retired.”

Pricing and demand differentials
The study, prepared by the research firm Strategic Policy Economics, modeled a two-stage scenario calculating the total benefits from both mobile and second-life storage when taking advantage of differences in daytime and nighttime electricity pricing and demand.

If done systematically and at scale, the combined benefits to EV owners, building operators and the electricity system in Ontario could reach $129 million per year by 2035, according to the report. Along with the financial gains, the province would also cut GHG emissions by up to 67.2 kilotons annually.

The math might sound complicated, but the concepts are simple. All it requires is for drivers to charge their batteries with low-cost electricity overnight at home, then plug them into two-way EV charging stations at work and discharge their stored electricity for use by the building by day when buying power from the grid is more expensive.

“Workplace buildings could avoid high daytime prices by purchasing electricity from EVs parked onsite and enjoy savings as a result,” says the report.

Based on average commuting distances, EVs in this scenario could make half their storage capacity available for discharge. Drivers would be paid out of the building’s savings, effectively selling electricity back to the grid and earning up to $8,400 over the life of their vehicle.

According to the report, Ontario could have as many as 18,555 vehicles participating in mobile storage by 2030. At this level, the daily electricity demand would be reduced by 565 MWh. This, in turn, would reduce demand for natural gas-fired electricity generation, a fossil-fuel electricity source, avoiding the expense of gas purchases while reducing GHG emissions.

The second-life storage opportunity begins when the vehicle lifespan ends. “EV batteries will still have over 80% of their storage capacity after being driven for 13 years and providing mobile storage,” the report states. “Those-second life batteries could provide a low-cost energy storage solution for the electricity grid and enhance grid stability over time.”

Some of the savings could be shared with EV owners in the form of a rebate worth up to 20 per cent of the batteries’ initial cost.

Call to action
The report concludes with a call to action for EV advocates to press policy makers and other stakeholders to take actions on building codes, the federal Clean Fuel Standard and other business models in order to maximize the benefits of using EV batteries for the electricity system in this way, even as growing adoption could challenge power grids in some regions.

“EVs are often approached as an environmental solution to climate change,” says Cara Clairman, Plug’n Drive president and CEO. “While this is true, there are significant economic opportunities that are often overlooked.”

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Meaford Pumped Storage Project aims to balance the grid with hydro-electric generation, a hilltop reservoir, and transmission lines near Georgian Bay, pending environmental assessment, permitting, and federal review of impacts on fish and drinking water.

Key Points

TC Energy proposal to pump water uphill off-peak and generate 1,000 MW at peak, pending studies and approvals.

✅ Balances grid by storing off-peak energy and generating at peak.

✅ Requires reservoir, break wall, transmission lines, generating station.

✅ Environmental studies and federal review underway before approvals.

Plans for a $3.3 billion hydro-electric project in Meaford are still in the early study stages, but some residents have concerns about what it might mean for the environment, as past Site C stability issues have illustrated for large hydro projects.

A one-year permit was granted for TC Energy Corporation (TC Energy) to begin studies on the proposed location back in May, and cross-border projects like the New England Clean Power Link require federal permits as well to proceed. Local municipalities were informed of the project in June.

TC Energy is proposing to have a pumped storage project at the 4th Canadian Division Training (4CDTC) Meaford property, which is on federal lands.

A letter sent to local municipalities explains that the plan is to balance supply and demand on the electrical grid by pumping water uphill during off-peak hours. It would then release the water back into Georgian Bay during peak periods, generating up to 1,000 megawatts of electricity.

The project is expected to create 800 jobs over four years of construction, in addition to long-term operational positions.

According to the company's website, the proposed pump station would require a large reservoir on the military base, a generating station, transmission lines infrastructure, and a break wall 850 metres from shore.

Some residents fear the project will threaten the bay and the fish, echoing Site C dam concerns shared with northerners, and the region's drinking water.

Meaford's mayor says the town has no jurisdiction on federal lands, but that a list of concerns has been forwarded to the company, while Ontario First Nations have urged government action on urgent transmission needs elsewhere.

TC Energy will tackle preliminary engineering and environmental studies to determine the feasibility of the proposed location, which could take up to two years.

Once the assessments are done, they need to be presented to the government for further review and approval, as seen when Ottawa's Site C stance left work paused pending a treaty rights challenge.

TC Energy's website states that the company anticipates construction to begin in 2022 if it gets all the go-ahead, with the plant to begin operations four years later.

Input from residents is being collected until April 2020, similar to when the National Energy Board heard oral traditional evidence on the Manitoba-Minnesota transmission line.

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California Storm Outages and Landslides strain utilities, trigger flooding, road closures, and debris flows, causing widespread power cuts and infrastructure damage as emergency response teams race to restore service, clear slides, and support evacuations.

Key Points

California Storm Outages and Landslides are storm-driven power cuts and slope failures disrupting roads and utilities.

✅ Tens of thousands face prolonged power outages across regions

✅ Landslides block highways, damage property, hinder access

✅ Crews restore grids, clear debris, support shelters and evacuees

California is grappling with a dual crisis of power outages and landslides following a severe storm that has swept across the state. The latest reports indicate widespread disruptions affecting thousands of residents and significant infrastructure damage. This storm is not only a test of California's emergency response capabilities but also a stark reminder of the increasing vulnerability of the state to extreme weather events, and of the U.S. electric grid in the face of climate stressors.

Storm’s Impact on California

The recent storm, which hit California with unprecedented intensity, has unleashed torrential rain, strong winds, and widespread flooding. These severe weather conditions have overwhelmed the state’s infrastructure, leading to significant power outages that are affecting numerous communities. According to local utilities, tens of thousands of homes and businesses are currently without electricity. The outages have been exacerbated by the combination of heavy rain and gusty winds, which have downed power lines and damaged electrical equipment.

In addition to the power disruptions, the storm has triggered a series of landslides across various regions. The combination of saturated soil and intense rainfall has caused several hillside slopes to give way, leading to road closures and property damage. Emergency services are working around the clock to address the aftermath of these landslides, but access to affected areas remains challenging due to blocked roads and ongoing hazardous conditions.

Emergency Response and Challenges

California’s emergency response teams are on high alert as they coordinate efforts to manage the fallout from the storm. Utility companies are deploying repair crews to restore power as quickly as possible, but the extensive damage to infrastructure means that some areas may be without electricity for several days. The state’s Department of Transportation is also engaged in clearing debris from landslides and repairing damaged roads to ensure that emergency services can reach affected communities.

The response efforts are complicated by the scale of the storm’s impact. With many areas experiencing both power outages and landslides, the logistical challenges are immense. Emergency shelters have been set up to provide temporary refuge for those displaced by the storm, but the capacity is limited, and there are concerns about overcrowding and resource shortages.

Community and Environmental Implications

The storm’s impact on local communities has been profound. Residents are facing not only the immediate challenges of power outages and unsafe road conditions but also longer-term concerns about recovery and rebuilding. Many individuals have been forced to evacuate their homes, and local businesses are struggling to cope with the disruption.

Environmental implications are also significant. The landslides and flooding have caused considerable damage to natural habitats and have raised concerns about water contamination and soil erosion. The impact on the environment could have longer-term consequences for the state’s ecosystems and water supply.

Climate Change and Extreme Weather

This storm underscores a growing concern about the increasing frequency and intensity of extreme weather events linked to climate change. California has been experiencing a rise in severe weather patterns, including intense storms, prolonged droughts, and extreme heat waves that strain the grid. These changes are putting additional strain on the state’s infrastructure and emergency response systems.

Experts have pointed out that while individual storms cannot be directly attributed to climate change, the overall trend towards more extreme weather is consistent with scientific predictions. As such, there is a pressing need for California to invest in infrastructure improvements and resilience measures, and to consider accelerating its carbon-free electricity mandate to better withstand future events.

Looking Ahead

As California deals with the immediate aftermath of this storm, attention will turn to recovery and rebuilding efforts. The state will need to address the damage caused by power outages and landslides while also preparing for future challenges posed by climate change.

In the coming days, the focus will be on restoring power, clearing debris, and providing support to affected communities. Long-term efforts will likely involve reassessing infrastructure vulnerabilities, improving emergency response protocols, and investing in climate resilience measures across the grid.

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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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