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Hydro One CEO Mark Poweska aims to rebuild ties with Ontario's provincial government, investors, and communities, stabilize the executive team, boost earnings and dividends, and reset strategy after the scrapped Avista deal and regulatory setbacks.

Key Points

He plans to mend government and investor relations, rebuild the C-suite, and refocus growth after the failed Avista bid.

✅ Rebuild ties with Ontario government and regulators

✅ Stabilize executive team and governance

✅ Refocus growth after Avista deal termination

The incoming chief executive officer of Hydro One Ltd. said Thursday that he aims to rebuild the relationship between the Ontario electrical utility and the provincial government, as seen in COVID-19 support initiatives, as well as ties between the company and its investors.

Mark Poweska, the former executive vice-president of operations at BC Hydro, was announced as Hydro One’s new president and CEO in March. His hiring followed a turbulent period for Toronto-based Hydro One, Ontario’s biggest distributor and transmitter of electricity, with large-scale storm restoration efforts underscoring its role.

Hydro One’s former CEO and board of directors departed last year under pressure from a new Ontario government, the utility’s biggest shareholder. Earlier this year, the company’s plan for a $6.7-billion takeover fell apart over concerns of political interference and the utility clashed with the new provincial government and Progressive Conservative Premier Doug Ford over executive compensation levels, amid rate policy debates such as no peak rate cuts for self-isolating customers.

Hydro One facing $885 million charge as regulator upholds tax decision forcing it to share savings with customers

Shares of Hydro One were up more than eight per cent year-to-date on Wednesday, closing at $21.74. However, the stock price was up only six per cent from Hydro One’s 2015 initial public offering price, something its incoming CEO seems set on changing.

“One of my first priorities will be to solidify the executive team and build relationships with the Government of Ontario, our customers, informed by customer flexibility research, and communities, indigenous leaders, investors, and our partners across the electricity sector,” Poweska said Thursday on a conference call outlining Hydro One’s first-quarter results. “At the same time, I will be working to earn the trust and confidence of the investment community.”

Hydro One reported a profit of $171 million for the three months ended March 31, while peers such as Hydro-Québec reported pandemic-related losses as the sector adapted. Net income for the first quarter was down from $222 million a year earlier, which was due to $140 million in costs related to the scrapping of Hydro One’s proposed acquisition of U.S. energy company Avista Corp.

Hydro One Ltd. appointed Mark Poweska as President and CEO.

In January, Hydro One said the proposed takeover of Spokane, Wash.-headquartered Avista, an approximately $6.7-billion deal announced in July 2017, was being called off. As a result, Hydro One said it would pay Avista a US$103 million break fee.

Revenues net of purchased power for the first quarter rose to $952 million, up by 15.4 per cent compared to last year, Hydro One said, helped by higher distribution revenues. Adjusted profit for the quarter, which removes the Avista-related costs, was $311 million, up from $210 million a year ago.

The company is hiking its quarterly dividend to 24.15 cents per share, up five per cent from the last increase in May 2018, while also launching a pandemic relief fund for customers.

Poweska is taking over for acting president and CEO Paul Dobson this month, and the new executive will be charged with revamping Hydro One’s C-suite.

The company’s chief operating officer, chief legal officer, and chief corporate development officer have all departed this year. The company’s chief human resource officer has retired as well, although Poweska did announce Thursday that he had appointed acting chief financial officer Chris Lopez as CFO.

“Hydro One’s significant bench strength and management depth will ensure stability and continuity during this period of transition, as the sector pursues Hydro-Québec energy transition as well,” the company said in its first-quarter earnings press release.

Ontario remains Hydro One’s biggest shareholder, owning approximately 47 per cent of the company.

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Hydro One Rate Hike reflects Ontario Energy Board approval for higher delivery charges, impacting seasonal customers more than residential classes, funding infrastructure upgrades like wood pole and transformer replacements across Ontario's medium-density service areas.

Key Points

The Hydro One rate hike is an OEB-approved delivery charge increase to fund upgrades, with impacts on seasonal users.

✅ OEB-approved delivery rate increases retroactive to 2018

✅ Seasonal customers see larger monthly bill impacts than residential

✅ Funds pole, transformer replacements and tree trimming work

Hydro One seasonal customers will face bigger increases in their bills than the utility's residential customers as a result of an Ontario Energy Board approval of a rate hike, a topic drawing attention from a utilities watchdog in other provinces as well.

Hydro One received permission to increase its delivery charge, as large projects like the Meaford hydro generation proposal are considered across Ontario, retroactive to last year.

It says it needs the money to maintain and upgrade its infrastructure, including efforts to adapt to climate change, much of which was installed in the 1950s.

The utility is notifying customers that new statements reflect higher delivery rates which were not charged in 2018 and the first half of this year, due to delay in receiving the OEB's permission, similar to delays that can follow an energy board recommendation in other jurisdictions.

The amount that customers' bills will increase by depends not only on how much electricity they use, but also on which rate class they belong to, as well as policy decisions affecting remote connections such as the First Nations electricity line in northern Ontario.

For seasonal customers such as summer cottage owners, the impact on a typical user's bill will be 2.9 per cent more per month for 2018, and 1.7 per cent per month for 2019.

There will be further increases of 1.0 per cent, 1.4 per cent and 1.1 per cent per month in 2020, 2021 and 2022 respectively. 

Typical residential customers will experience smaller increases or rate freezes over the same period.

In the residential medium density class, the rate changes are a 2.0 per cent increase for last year, a decrease of 0.5 per cent this year, and an increase of 0.5 per cent in 2021. There will be no increases in 2020 and 2022.

Seasonal Rate Class — Estimated bill impact per month

2018 - 2.9 %

2019 - 1.7%

2020 - 1.0%

2021 - 1.4%

2022 - 1.1%

Residential Medium Density Rate Class — Estimated bill impact per month

2018 - 2.0%

2019 - -0.5% decrease

2020 - 0.0%

2021 - 0.5%

2022 - 0.0%

A Hydro One spokesperson told tbnewswatch.com that over the next three years, the utility's upgrading plan includes reliability investments such as replacing more than 24,000 wood poles across the province as well as numerous transformers.

In the Thunder Bay area, the spokesperson said, some of the revenue generated by the higher delivery rates will cover the cost of replacing more than 180 poles and trimming hazardous trees around 3,200 kilometres of overhead power lines while sharing electrical safety tips with customers.

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EV Subsidies in Canada influence greenhouse-gas emissions based on electricity grid mix; in Ontario and Quebec they reduce pollution, while fossil-fuel grids blunt benefits. Compare costs per tonne with carbon tax and renewable energy policies.

Key Points

Government rebates for electric vehicles, whose emissions impact and cost-effectiveness depend on provincial grid mix.

✅ Impact varies by grid emissions; clean hydro-nuclear cuts CO2.

✅ MEI estimates up to $523 per tonne vs $50 carbon price.

✅ Best value: tax carbon; target renewables, efficiency, hybrids.

Bad ideas sometimes look better, and sell better, than good ones – as with the proclaimed electric-car revolution that policymakers tout today. Not always, or else Canada wouldn’t be the mostly well-run place that it is. But sometimes politicians embrace a less-than-best policy – because its attractive appearance may make it more likely to win the popularity contest, right now, even though it will fail in the long run.

The most seasoned political advisers know it. Pollsters too. Voters, in contrast, don’t know what they don’t know, which is why bad policy often triumphs. At first glance, the wrong sometimes looks like it must be right, while better and best give the appearance of being bad and worst.

This week, the Montreal Economic Institute put out a study on the costs and benefits of taxpayer subsidies for electric cars. They considered the logic of the huge amounts of money being offered to purchasers in the country’s two largest provinces. In Quebec, if you buy an electric vehicle, the government will give you up to $8,000; in Ontario, buying an electric car or truck entitles you to a cheque from the taxpayer of between $6,000 and $14,000. The subsidies are rich because the cars aren’t cheap.

Will putting more electric cars on the road lower greenhouse-gas emissions? Yes – in some provinces, where they can be better for the planet when the grid is clean. But it all depends on how a province generates electricity. In places like Alberta, Saskatchewan, Nova Scotia and Nunavut territory, where most electricity comes from burning fossil fuels, an electric car may actually generate more greenhouse gases than one running on traditional gasoline. The tailpipe of an electric vehicle may not have any emissions. But quite a lot of emissions may have been generated to produce the power that went to the socket that charged it.

A few years ago, University of Toronto engineering professor Christopher Kennedy estimated that electric cars are only less polluting than the gasoline vehicles they replace when the local electrical grid produces a good chunk of its power from renewable sources – thereby lowering emissions to less than roughly 600 tonnes of CO2 per gigawatt hour.

Unfortunately, the electricity-generating systems in lots of places – from India to China to many American states – are well above that threshold. In those jurisdictions, an electric car will be powered in whole or in large part by electricity created from the burning of a fossil fuel, such as coal. As a result, that car, though carrying the green monicker of “electric,” is likely to be more polluting than a less costly model with an internal combustion or hybrid engine.

The same goes for the Canadian juridictions mentioned above. Their electricity is dirtier, so operating an electric car there won’t be very green. Alberta, for example, is aiming to generate 30 per cent of its electricity from renewable sources by 2030 – which means that the other 70 per cent of its electricity will still come from fossil fuels. (Today, the figure is even higher.) An Albertan trading in a gasoline car for an electric vehicle is making a statement – just not the one he or she likely has in mind.

In Ontario and Quebec, however, most electricity is generated from non-polluting sources, even though Canada still produced 18% from fossil fuels in 2019 overall. Nearly all of Quebec’s power comes from hydro, and more than 90 per cent of Ontario’s electricity is from zero-emission generation, mainly hydro and nuclear. British Columbia, Manitoba and Newfoundland and Labrador also produce the bulk of their electricity from hydro. Electric cars in those provinces, powered as they are by mostly clean electricity, should reduce emissions, relative to gas-powered cars.

But here’s the rub: Electric cars are currently expensive, and, as a recent survey shows, consequently not all that popular. Ontario and Quebec introduced those big subsidies in an attempt to get people to buy them. Those subsidies will surely put more electric cars on the road and in the driveways of (mostly wealthy) people. It will be a very visible policy – hey, look at all those electrics on the highway and at the mall!

However, that result will be achieved at great cost. According to the MEI, for Ontario to reach its goal of electrics constituting 5 per cent of new vehicles sold, the province will have to dish out up to $8.6-billion in subsidies over the next 13 years.

And the environmental benefits achieved? Again, according to the MEI estimate, that huge sum will lower the province’s greenhouse-gas emissions by just 2.4 per cent. If the MEI’s estimate is right, that’s far too many bucks for far too small an environmental bang.

Here’s another way to look at it: How much does it cost to reduce greenhouse-gas emissions by other means? Well, B.C.’s current carbon tax is $30 a tonne, or a little less than 7 cents on a litre of gasoline. It has caused GHG emissions per unit of GDP to fall in small but meaningful ways, thanks to consumers and businesses making millions of little, unspectacular decisions to reduce their energy costs. The federal government wants all provinces to impose a cost equivalent to $50 a tonne – and every economic model says that extra cost will make a dent in greenhouse-gas emissions, though in ways that will not involve politicians getting to cut any ribbons or hold parades.

What’s the effective cost of Ontario’s subsidy for electric cars? The MEI pegs it at $523 per tonne. Yes, that subsidy will lower emissions. It just does so in what appears to be the most expensive and inefficient way possible, rather than the cheapest way, namely a simple, boring and mildly painful carbon tax.

Electric vehicles are an amazing technology. But they’ve also become a way of expressing something that’s come to be known as “virtue signalling.” A government that wants to look green sees logic in throwing money at such an obvious, on-brand symbol, or touting a 2035 EV mandate as evidence of ambition. But the result is an off-target policy – and a signal that is mostly noise.

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Ontario Electricity Demand 2020 shows a rare decline amid COVID-19, with higher residential peak load, lower commercial usage, hot-weather air conditioning, nuclear baseload constraints, and smart meter data shaping grid operations and forecasting.

Key Points

It refers to 2020 power use in Ontario: overall demand fell, while residential peaks rose and commercial loads dropped.

✅ Peak load shifted to homes; commercial usage declined.

✅ Hot summers raised peaks; overall annual demand still fell.

✅ Smart meters aid forecasting; grid must balance nuclear baseload.

Demand for electricity in Ontario last year fell to levels rarely seen in decades amid shifts in usage patterns caused by pandemic measures, with Ottawa’s electricity consumption dropping notably, new data show.

The decline came despite a hot summer that had people rushing to crank up the air conditioning at home, the province’s power management agency said, even as the government offered electricity relief to families and small businesses.

“We do have this very interesting shift in who’s using the energy,” said Chuck Farmer, senior director of power system planning with the Independent Electricity System Operator.

“Residential users are using more electricity at home than we thought they would and the commercial consumers are using less.”

The onset of the pandemic last March prompted stay-home orders, businesses to close, and a shuttering of live sports, entertainment and dining out. Social distancing and ongoing restrictions, even as the first wave ebbed and some measures eased, nevertheless persisted and kept many people home as summer took hold and morphed into winter, while the province prepared to extend disconnect moratoriums for residential customers.

System operator data show peak electricity demand rose during a hot summer spell to 24,446 megawatts _ the highest since 2013. Overall, however, Ontario electricity demand last year was the second lowest since 1988, the operator said.

In all, Ontario used 132.2 terawatt-hours of power in 2020, a decline of 2.9 per cent from 2019.

With more people at home during the lockdown, winter residential peak demand has climbed 13 per cent above pre-pandemic levels, even as Hydro One made no cut in peak rates for self-isolating customers, while summer peak usage was up 19 per cent.

“The peaks are getting higher than we would normally expect them to be and this was caused by residential customers _ they’re home when you wouldn’t expect them to be home,” Farmer said.

Matching supply and demand _ a key task of the system operator _ is critical to meeting peak usage and ensuring a stable grid, and the operator has contingency plans with some key staff locked down at work sites to maintain operations during COVID-19, because electricity cannot be stored easily. It is also difficult to quickly raise or lower the output from nuclear-powered generators, which account for the bulk of electricity in the province, as demand fluctuates.

READ MORE: Ontario government extends off-peak electricity rates to Feb. 22

Life patterns have long impacted overall usage. For example, demand used to typically climb around 10 p.m. each night as people tuned into national television newscasts. Livestreaming has flattened that bump, while more energy-efficient lighting led to a drop in provincial demand over the holiday season.

The pandemic has now prompted further intra-day shifts in usage. Fewer people are getting up in the morning and powering up at home before powering down and rushing off to work or school. The summer saw more use of air conditioners earlier than normal after-work patterns.

Weather has always been a key driver of demand for power, accounting for example for the record 27,005 megawatts of usage set on a brutally hot Aug. 1, 2006. Similarly, a mild winter and summer led to an overall power usage drop in 2017.

Still, the profound social changes prompted by the COVID-19 pandemic _ and whether some will be permanent _ have complicated demand forecasting.

“Work patterns used to be much more predictable,” the agency said. “The pandemic has now added another element of variability for electricity demand forecasting.”

Some employees sent home to work have returned to their offices and other workplaces, and many others are likely do so once the pandemic recedes. However, some larger companies have indicated that working from home will be long term.

“Companies like Facebook and Shopify have already stated their intention to make work from home a more permanent arrangement,” the operator said. “This is something our near-term forecasters would take into account when preparing for daily operation of the grid.”

Aggregated data from better smart meters, which show power usage throughout the day, is one method of improving forecasting accuracy, the operator said.

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Middle Tennessee Power Outages disrupt 100,000+ customers as severe thunderstorms, straight-line winds, downed trees, and debris challenge Nashville crews, slow restoration amid COVID-19, and threaten more hail, flash flooding, and damaging gusts.

Key Points

Blackouts across Nashville after severe storms and winds, leaving customers without power and facing restoration delays.

✅ Straight-line winds 60-80 mph toppled trees and power lines

✅ 130,000+ customers impacted; some outages may last 1-2 weeks

✅ Restoration slowed by debris, COVID-19 protocols, and new storms

Some middle Tennessee residents could be without electricity for up to two weeks after strong thunderstorms swept through the area Sunday, knocking out power for more than 100,000 customers, a scale comparable to Los Angeles outages after a station fire.

"Straight line winds as high as 60-80 miles per hour knocked down trees, power lines and power polls, interrupting power to 130,000 of our 400,000+ customers," Nashville Electric said in a statement Monday. The utility said the outage was one of the largest on record, though Carolina power outages recently left a quarter-million without power as well.

"Restoration times will depend on individual circumstances. In some cases, power could be out for a week or two" as challenges related to coronavirus and the need for utilities adapt to climate change complicated crews' responses and more storms were expected, the statement said. "This is unfortunate timing on the heels of a tornado and as we deal with battling COVID-19."

Metropolitan Nashville and Davidson County Mayor John Cooper also noted that the power outages were especially inconvenient, a challenge similar to Hong Kong families without power during Typhoon Mangkhut, as people were largely staying home to slow the spread of coronavirus. He also pointed out that the storms came on the two month anniversary of the Nashville tornado that left at least two dozen people dead.

"Crews are working diligently to restore power and clear any debris in neighborhoods," Cooper said.

He said that no fatalities were reported in the county but sent condolences to Spring Hill, whose police department reported that firefighter Mitchell Earwood died during the storm due to "a tragic weather-related incident" while at his home and off duty. He had served with the fire department for 10 years.

The Metro Nashville Department of Public Works said it received reports of more than 80 downed trees in Davidson County.

Officials also warn that copper theft can be deadly when electrical infrastructure is damaged after storms.

The National Weather Service Nashville said a 72 mph wind gust was measured at Nashville International Airport — the fifth fastest on record.

The weather service warned that strong storms with winds of up to 75 mph, large hail, record-long lightning bolt potential seen in the U.S., and isolated flash flooding could hit middle Tennessee again Monday afternoon and night.

"Treat Severe Thunderstorm Warnings the same way you would Tornado Warnings and review storm safety tips before you JUST TAKE SHELTER," the NWS instructs. "70 mph is 70 mph whether it's spinning around in a circle or blowing in a straight line."

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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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