Illinois coal plants sued over dirty air

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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Renewable Energy Economic Recovery drives GDP gains, job growth, and climate targets by accelerating clean energy investment, green hydrogen, and grid modernization, delivering high ROI and a resilient, low-carbon transition through stimulus and policy alignment.

Key Points

A strategy to boost GDP and jobs by accelerating clean power and green hydrogen while meeting climate goals.

✅ Adds $98tn to global GDP by 2050; $3-$8 return per $1 invested

✅ Quadruples clean energy jobs to 42m; improves health and welfare

✅ Cuts CO2 70% by 2050; enables net-zero via green hydrogen

Renewable energy could power an economic recovery from Covid-19 through a green recovery that spurs global GDP gains of almost $100tn (£80tn) between now and 2050, according to a report.

The International Renewable Energy Agency’s new IRENA report found that accelerating investment in renewable energy could generate huge economic benefits while helping to tackle the global climate emergency.

The agency’s director general, Francesco La Camera, said the global crisis ignited by the coronavirus outbreak exposed “the deep vulnerabilities of the current system” and urged governments to invest in renewable energy to kickstart economic growth and help meet climate targets.

The agency’s landmark report found that accelerating investment in renewable energy would help tackle the climate crisis and would in effect pay for itself.

Investing in renewable energy would deliver global GDP gains of $98tn above a business-as-usual scenario by 2050, as clean energy investment significantly outpaces fossil fuels, by returning between $3 and $8 on every dollar invested.

It would also quadruple the number of jobs in the sector to 42m over the next 30 years, and measurably improve global health and welfare scores, according to the report.

“Governments are facing a difficult task of bringing the health emergency under control while introducing major stimulus and recovery measures, as a US power coalition demands action,” La Camera said. “By accelerating renewables and making the energy transition an integral part of the wider recovery, governments can achieve multiple economic and social objectives in the pursuit of a resilient future that leaves nobody behind.”

The report also found that renewable energy could curb the rise in global temperatures by helping to reduce the energy industry’s carbon dioxide emissions by 70% by 2050 by replacing fossil fuels, with measures like a fossil fuel lockdown hastening the shift.

Renewables could play a greater role in cutting carbon emissions from heavy industry and transport to reach virtually zero emissions by 2050, particularly by investing in green hydrogen.

The clean-burning fuel, which can replace the fossil fuel gas in steel and cement making, could be made by using vast amounts of clean electricity to split water into hydrogen and oxygen elements.

Andrew Steer, chief executive of the World Resources Institute, said: “As the world looks to recover from the current health and economic crises, we face a choice: we can pursue a modern, clean, healthy energy system, or we can go back to the old, polluting ways of doing business. We must choose the former.”

The call for a green economic recovery from the coronavirus crisis comes after a warning from Dr Fatih Birol, head of the International Energy Agency, that government policies must be put in place to avoid an investment hiatus in the energy transition, even as the solar and wind industry faces Covid-19 disruptions.

“We should not allow today’s crisis to compromise the clean energy transition, even as wind power growth persists despite Covid-19,” he said. “We have an important window of opportunity.”

Ignacio Galán, the chairman and CEO of the Spanish renewables giant Iberdrola, which owns Scottish Power, said the company would continue to invest billions in renewable energy as well as electricity networks and batteries to help integrate clean energy in the electricity.

“A green recovery is essential as we emerge from the Covid-19 crisis. The world will benefit economically, environmentally and socially by focusing on clean energy,” he said. “Aligning economic stimulus and policy packages with climate goals is crucial for a long-term viable and healthy economy.”

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European Energy Market Crisis drives record natural gas and electricity prices across the EU, as LNG supply constraints, Russian pipeline dependence, marginal pricing, and renewables integration expose volatility in liberalised power markets.

Key Points

A 2021 surge in European gas and electricity prices from supply strains, demand rebounds, and marginal pricing exposure.

✅ Record TTF gas and day-ahead power prices across Europe

✅ LNG constraints and Russian pipeline dependence tightened supply

✅ Debate over marginal pricing vs regulated models intensifies

By Ronan Bolton

The year 2021 was a turbulent one for energy markets across Europe, as Europe's energy nightmare deepened across the region. Skyrocketing natural gas prices have created a sense of crisis and will lead to cost-of-living problems for many households, as wholesale costs feed through into retail prices for gas and electricity over the coming months.

This has created immediate challenges for governments, but it should also encourage us to rethink the fundamental design of our energy markets as we seek to transition to net zero, with many viewing it as a wake-up call to ditch fossil fuels across the bloc.

This energy crisis was driven by a combination of factors: the relaxation of Covid-19 lockdowns across Europe created a surge in demand, while cold weather early in the year diminished storage levels and contributed to increasing demand from Asian economies. A number of technical issues and supply-side constraints also combined to limit imports of liquefied natural gas (LNG) into the continent.

Europe’s reliance on pipeline imports from Russia has once again been called into question, as Gazprom has refused to ride to the rescue, only fulfilling its pre-existing contracts. The combination of these, and other, factors resulted in record prices – the European benchmark price (the Dutch TTF Gas Futures Contract) reached almost €180/MWh on 21 December, with average day-ahead electricity prices exceeding €300/MWh across much of the continent in the following days.

Countries which rely heavily on natural gas as a source of electricity generation have been particularly exposed, with governments quickly put under pressure to intervene in the market.

In Spain the government and large energy companies have clashed over a proposed windfall tax on power producers. In Ireland, where wind and gas meet much of the country’s surging electricity demand, the government is proposing a €100 rebate for all domestic energy consumers in early 2022; while the UK government is currently negotiating a sector-wide bailout of the energy supply sector and considering ending the gas-electricity price link to curb bills.

This follows the collapse of a number of suppliers who had based their business models on attracting customers with low prices by buying cheap on the spot market. The rising wholesale prices, combined with the retail price cap previously introduced by the Theresa May government, led to their collapse.

While individual governments have little control over prices in an increasingly globalised and interconnected natural gas market, they can exert influence over electricity prices as these markets remain largely national and strongly influenced by domestic policy and regulation. Arising from this, the intersection of gas and power markets has become a key site of contestation and comment about the role of government in mitigating the impacts on consumers of rising fuel bills, even as several EU states oppose major reforms amid the price spike.

Given that renewables are constituting an ever-greater share of production capacity, many are now questioning why gas prices play such a determining role in electricity markets.

As I outline in my forthcoming book, Making Energy Markets, a particular feature of the ‘European model’ of liberalised electricity trade since the 1990s has been a reliance on spot markets to improve the efficiency of electricity systems. The idea was that high marginal prices – often set by expensive-to-run gas peaking plants – would signal when capacity limits are reached, providing clear incentives to consumers to reduce or delay demand at these peak periods.

This, in theory, would lead to an overall more efficient system, and in the long run, if average prices exceeded the costs of entering the market, new investments would be made, thus pushing the more expensive and inefficient plants off the system.

The free-market model became established during a more stable era when domestically-sourced coal, along with gas purchased on long-term contracts from European sources (the North Sea and the Netherlands), constituted a much greater proportion of electricity generation.

While prices fluctuated, they were within a somewhat predictable range, and provided a stable benchmark for the long-term contracts underpinning investment decisions. This is no longer the case as energy markets become increasingly volatile and disrupted during the energy transition.

The idea that free price formation in a competitive market, with governments standing back, would benefit electricity consumers and lead to more efficient systems was rooted in sound economic theory, and is the basis on which other major commodity markets, such as metals and agricultural crops, have been organised for decades.

The free-market model applied to electricity had clear limitations, however, as the majority of domestic consumers have not been exposed directly to real-time price signals. While this is changing with the roll-out of smart meters in many countries, the extent to which the average consumer will be willing or able to reduce demand in a predicable way during peak periods remains uncertain.

Also, experience shows that governments often come under pressure to intervene in markets if prices rise sharply during periods of scarcity, thus undermining a basic tenet of the market model, with EU gas price cap strategies floated as one option.

Given that gas continues to play a crucial role in balancing supply and demand for electricity, the options available to governments are limited, illustrating why rolling back electricity prices is harder than it appears for policymakers. One approach would be would be to keep faith with the liberalised market model, with limited interventions to help consumers in the short term, while ultimately relying on innovations in demand side technologies and alternatives to gas as a means of balancing systems with high shares of variable renewables.

An alternative scenario may see a return to old style national pricing policies, involving a move away from marginal pricing and spot markets, even as the EU prepares to revamp its electricity market in response. In the past, in particular during the post-WWII decades, and until markets were liberalised in the 1990s, governments have taken such an approach, centrally determining prices based on the costs of delivering long term system plans. The operation of gas plants and fuel procurement would become a much more regulated activity under such a model.

Many argue that this ‘traditional model’ better suits a world in which governments have committed to long-term decarbonisation targets, and zero marginal cost sources, such as wind and solar, play a more dominant role in markets and begin to push down prices.

A crucial question for energy policy makers is how to exploit this deflationary effect of renewables and pass-on cost savings to consumers, whilst ensuring that the lights stay on.

Despite the promise of storage technologies such as grid-scale batteries and hydrogen produced from electrolysis, aside from highly polluting coal, no alternative to internationally sourced natural gas as a means of balancing electricity systems and ensuring our energy security is immediately available.

This fact, above all else, will constrain the ambitions of governments to fundamentally transform energy markets.

Ronan Bolton is Reader at the School of Social and Political Science, University of Edinburgh and Co-Director of the UK Energy Research Centre. His book Making Energy Markets: The Origins of Electricity Liberalisation in Europe is to be published by Palgrave Macmillan in 2022.

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World Bank Financing for India's Low-Carbon Transition accelerates clean energy deployment, renewable energy capacity, and energy efficiency, channeling climate finance into solar, wind, grid upgrades, and green jobs for sustainable development and climate resilience.

Key Points

$1.5B World Bank support to scale renewables, boost energy efficiency, and drive India's low-carbon growth.

✅ Funds solar, wind, and grid modernization projects

✅ Backs industrial and building energy-efficiency upgrades

✅ Catalyzes green jobs, innovation, and climate resilience

In a significant move towards bolstering India's efforts towards a low-carbon future, the World Bank has approved an additional $1.5 billion in financing. This article explores how this funding aims to support India's transition to cleaner energy sources, informed by global moves toward clean and universal electricity standards and market access, the projects it will fund, and the broader implications for sustainable development.

Commitment to Low-Carbon Transition

India, as one of the world's largest economies, faces substantial challenges in balancing economic growth with environmental sustainability. The country has committed to reducing its carbon footprint and enhancing energy efficiency through various initiatives and partnerships. The World Bank's financing represents a crucial step towards achieving these goals within the context of the global energy transition now underway, providing essential resources to accelerate India's transition towards a low-carbon economy.

Projects Supported by World Bank Funding

The $1.5 billion financing package will support several key projects aimed at advancing India's renewable energy sector and promoting sustainable development practices. These projects may include the expansion of solar and wind energy capacity, enhancing energy efficiency in industries and buildings, improving waste management systems, and fostering innovation in clean technologies.

Impact on Renewable Energy Sector

India's renewable energy sector stands to benefit significantly from the World Bank's financial support. With investments in solar and wind power projects, and broader shifts toward carbon-free electricity across utilities, the country can increase its renewable energy capacity, reduce dependency on fossil fuels, and mitigate greenhouse gas emissions. This expansion not only enhances energy security but also creates opportunities for job creation and economic growth in the clean energy sector.

Enhancing Energy Efficiency

In addition to renewable energy projects, the financing will likely focus on enhancing energy efficiency across various sectors. Improving energy efficiency in industries, transportation, and residential buildings is critical to reducing overall energy consumption, and analyses of decarbonizing Canada's electricity grid highlight how efficiency supports lower carbon emissions and progress toward sustainable development goals. The World Bank's support in this area can facilitate technological advancements and policy reforms that promote energy conservation practices.

Promoting Sustainable Development

The World Bank's financing is aligned with India's broader goals of promoting sustainable development and addressing climate change impacts. By investing in clean energy infrastructure and promoting environmentally sound practices, and amid momentum from the U.S. climate deal that shapes investment expectations, the funding contributes to enhancing resilience to climate risks, improving air quality, and fostering inclusive economic growth that benefits all segments of society.

Collaboration and Partnership

The approval of $1.5 billion in financing underscores the importance of international collaboration and partnership in advancing global climate goals, drawing lessons from China's path to carbon neutrality where relevant. The World Bank's engagement with India demonstrates a commitment to supporting developing countries in their efforts to transition towards sustainable development pathways and build resilience against climate change impacts.

Challenges and Opportunities

Despite the positive impact of the World Bank's financing, India faces challenges such as regulatory barriers, funding constraints, and technological limitations in scaling up renewable energy and energy efficiency initiatives, as well as evolving investor sentiment amid U.S. oil policy shifts that affect energy strategy. Addressing these challenges requires coordinated efforts from government agencies, private sector stakeholders, and international partners to overcome barriers and maximize the impact of investments in sustainable development.

Conclusion

The World Bank's approval of $1.5 billion in financing to support India's low-carbon transition marks a significant milestone in global efforts to combat climate change and promote sustainable development. By investing in renewable energy, enhancing energy efficiency, and fostering innovation, the funding contributes to building a cleaner, more resilient future for India and sets a precedent for international cooperation in addressing pressing environmental challenges worldwide.

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Gander Curling Club Debt Forgiveness Agreement explained: town council tax relief, loan write-off conditions, community benefits, and economic impact, covering long-standing taxes and loans while protecting the facility with asset clauses and compliance terms.

Key Points

Town plan erasing 25 years of tax and loan debt, with conditions to keep the curling facility open for residents.

✅ Conditions: no borrowing against property without consent.

✅ Water and sewer taxes must be paid annually.

✅ If sold or use changes, debt due; transfer for $1.

Gander town council has agreed to forgive the local curling club's debt of over $250,000.

Gina Brown, chair of the town council's finance committee, says the agreement has been put in place to help the curling club survive, amid broader discussions on electricity affordability in Newfoundland and Labrador.

"When we took a look at this and realized there was a significant outstanding debt for Gander curling club … we have to mitigate," Brown told CBC Newfoundland Morning. "[Getting] what the taxpayers are owed, with also understanding and appreciating the role that that recreational facility plays in our community."

According to Brown, the debt comes from a combination of taxes and loans, going back about 25 years. She says the curling club understood there was debt, but didn't know the number was so high. The club has been in the black since 2007, but used their profits for other items like renovations.

"Like so many cases when you're dealing with an organization with a changing board, and the same for council … [people are] coming in and coming out," Brown said. "And as a result, my understanding from the curling club's perspective is they weren't aware of how much was outstanding."

Chris McLeod, president of the Gander Curling Club, told CBC the club had been trying to address the debt since he became president in 2014.

Terms of agreement
The town's agreement with the club comes with the following stipulations:

The club will not use the property as security for any form of borrowing without the town's consent.
 
The club will continue to pay water and sewer tax annually.
 
If the club sells the property, the town reserves the right to void the agreement and the debt will immediately become due in full.
 
If the club stops using the facility as a curling club, the property will be transferred to the town for $1.
McLeod says the club will not attempt to pay back the debt, as it is not part of the agreement. The only way the debt would be paid is if the building is sold, which McLeod says it won't be, and there are also no plans to use the building for anything other than a curling club.

"[The debt] is basically gone now," McLeod said.

McLeod says the move was made to help get the debt off the books, and make sure the curling club can be financially responsible in the future, similar to relief programs some utilities offered during the pandemic.

The curling club is something that encourages people. So we felt that this has to be maintained.
- Gina Brown

Brown says keeping the curling club in Gander is important for the town, and brings different benefits to the area, as regional power cooperation debates illustrate broader trends.

"They are servicing people from as young as Grade 1 to seniors," Brown said. "You need little to no equipment, you need no background. So for the town itself, for its social and health implications, as provinces advance emissions plans that can affect communities, is one. But the other thing is the economic benefit that comes from having this facility here."

The Gander Curling Club's debt forgiveness comes with several conditions. (Google Maps)
The curling club can help attract people into the community, as recreational facilities are often a key draw for families, she added, while other provinces are creating transition funds to support communities.

"When you're as a town, trying to attract people coming in … whether you're a doctor, nurse, anybody looking at the recreational facilities, the curling club is something that encourages people," Brown said. "So we felt that this has to be maintained."

Brown says the town understands they might be setting a precedent with other businesses in forgiving the debts of the curling club, as major infrastructure like B.C.'s Site C dam has faced budget overruns.

"That's another thing we had to consider, what kind of precedents are [we] establishing?" Brown said. "From our standpoint, I think one of the things about this agreement that we felt was beneficial to the town is that they have an asset, helping to avoid costly delays seen with large projects. And the asset is a great building. To us, the taxpayers are in a win-win situation."

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Ontario Ultra-Low Overnight Electricity Rate lets eligible customers opt in to 2.4 cents per kWh time-of-use pricing, set by the Ontario Energy Board, as utilities roll out the plan between May 1 and Nov. 1.

Key Points

An OEB-set overnight TOU price of 2.4 cents per kWh for eligible Ontarians, rolling out in phases via local utilities.

✅ 8 of 61 utilities offering rate at May 1 launch

✅ About 20% of 5M customers eligible at rollout

✅ Enova Power delays amid merger integration work

A million households can opt into a new ultra-low overnight electricity rate offered by the Ministry of Energy, as province-wide rate changes begin, but that's just a fraction of customers in Ontario.

Only eight of the 61 provincial power utilities will offer the new rate on the May 1 launch date, following the earlier fixed COVID-19 hydro rate period. The rest have up to six months to get on board.

That means it will be available to 20 percent of the province's five million electricity consumers, the Ministry of Energy confirmed to CBC News.

The Ford government's new overnight pricing was pitched as a money saver for Ontarians, amid the earlier COVID-19 recovery rate that could raise bills, undercutting its existing overnight rate from 7.4 to 2.4 cents per kilowatt hour. Both rates are set by the Ontario Energy Board (OEB).

"We wanted to roll it out to as many people as possible," Kitchener-Conestoga PC MPP Mike Harris Jr. told CBC News. "These companies were ready to go, and we're going to continue to work with our local providers to make sure that everybody can meet that Nov. 1 deadline."

Enova Power — which serves Kitchener, Waterloo, Woolwich, Wellesley and Wilmot — won't offer the reduced overnight rate until the fall, after typical bills rose when fixed pricing ended province-wide.

Enova merger stalls adoption

The power company is the product of the recently merged Kitchener-Wilmot Hydro and Waterloo North Hydro.

The Sept. 1 merger is a major reason Enova Power isn't offering the ultra-low rate alongside the first wave of power companies, said Jeff Quint, innovation and communications manager.

"With mergers, a lot of work goes into them. We have to evaluate, merge and integrate several systems and processes," said Quint.

"We believe that we probably would have been able to make the May 1 timeline otherwise."

The ministry said retroactive pricing wouldn't be available, unlike the off-peak price freeze earlier in the pandemic, and Harris said he doesn't expect the province will issue any rebates to customers of companies that introduce the rates later than May 1.

"These organizations were able to look at rolling things out sooner. But, obviously — if you look at Toronto Hydro, London, Centre Wellington, Hearst, Renfrew — there's a dynamic range of large and smaller-scale providers there. I'm very hopeful the Region of Waterloo folks will be able to work to try and get this done as soon as we can," Harris said.

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