600,000 without power after epic ice storm

Maritime Link HVDC Transmission connects Newfoundland and Nova Scotia to the North American grid, enabling renewable energy imports, subsea cable interconnection, Muskrat Falls hydro power delivery, and lower carbon emissions across Atlantic Canada.

Key Points

A 500 MW HVDC intertie linking Newfoundland and Nova Scotia to deliver Muskrat Falls hydro power.

✅ 500 MW capacity using twin 170 km subsea HVDC cables

✅ Interconnects Newfoundland and Nova Scotia to the North American grid

✅ Enables Muskrat Falls hydro imports, cutting CO2 and costs

For the first time, electricity has been sent between Newfoundland and Nova Scotia through the new Maritime Link.

The 500-megawatt transmission line — which connects Newfoundland to the North American energy grid for the first time and echoes projects like the New England Clean Power Link underway — was tested Friday.

"This changes not only the energy options for Newfoundland and Labrador but also for Nova Scotia and Atlantic Canada," said Rick Janega, the CEO of Emera Newfoundland and Labrador, which owns the link.

"It's an historic event in our eyes, one that transforms the electricity system in our region forever."

'On time and on budget'

It will eventually carry power from the Muskrat Falls hydro project in Labrador, where construction is running two years behind schedule and $4 billion over budget, a context in which the Manitoba Hydro line to Minnesota has also faced delay, to Nova Scotia consumers. It was supposed to start producing power later this year, but the new deadline is 2020 at the earliest.

The project includes two 170-kilometre subsea cables across the Cabot Strait between Cape Ray in southwestern Newfoundland and Point Aconi in Cape Breton.

The two cables, each the width of a two-litre pop bottle, can carry 250 megawatts of high voltage direct current, and rest on the ocean floor at depths up to 470 metres.

This reel of cable arrived in St. John's back in April aboard the Norwegian vessel Nexans Skagerrak, after the first power cable reached Nova Scotia earlier in the project. (Submitted by Emera NL)

The Maritime Link also includes almost 50 kilometres of overland transmission in Nova Scotia and more than 300 kilometres of overland transmission in Newfoundland, paralleling milestones on Site C transmission work in British Columbia.

The link won't go into commercial operation until January 1.

Janega said the $1.6-billion project is on time and on budget.

"We're very pleased to be in a position to be able to say that after seven years of working on this. It's quite an accomplishment," he said.

This Norwegian vessel was used to transport the 5,500 tonne subsea cable. (Submitted by Emera NL)

Once in service, the link will improve electrical interconnections between the Atlantic provinces, aligning with climate adaptation guidance for Canadian utilities.

"For Nova Scotia it will allow it to achieve its 40 per cent renewable energy target in 2020. For Newfoundland it will allow them to shut off the Holyrood generating station, in fact using the Maritime Link in advance of the balance of the project coming into service," Janega said.

Karen Hutt, president and CEO of Nova Scotia Power, which is owned by Emera Inc., calls it a great day for Nova Scotia.

"When it goes into operation in January, the Maritime Link will benefit Nova Scotia Power customers by creating a more stable and secure system, helping reduce carbon emissions, and enabling NSP to purchase power from new sources," Hutt said in a statement.

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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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China Power Demand-Emissions Gap highlights surging grid demand outpacing renewables, with coal filling shortages despite record solar, wind, EV charging, and hydrogen growth, threatening decarbonization targets and net-zero pathways through 2030.

Key Points

China's power demand outpaces renewables, keeping coal dominant and raising emissions risk through the 2020s.

✅ Record solar and wind still lag fast grid demand growth

✅ Coal fills gaps as EV charging and hydrogen loads rise

✅ Forecasts diverge: CEC bullish vs IEA, BNEF conservative

Here’s a new obstacle that could prevent the world finally turning the corner on climate change: Imagine that over the coming decade a whole new economy the size of Russia were to pop up out of nowhere. With the world’s fourth-largest electricity sector and largest burden of power plant emissions after China, the U.S. and India, this new economy on its own would be enough to throw out efforts to halt global warming — especially if it keeps on growing through the 2030s.

That’s the risk inherent in China’s seemingly insatiable appetite for grid power, as surging electricity demand is putting systems under strain worldwide.

From the cracking pace of renewable build-out last year, you might think the country had broken the back of its carbon addiction. A record 55 gigawatts of solar power and 48 gigawatts of wind were connected — comparable to installing the generation capacity of Mexico in less than 12 months. This year will see an even faster pace, with 93 GW of solar and 50 GW of wind added, according to a report last week from the China Electricity Council, an industry association.

That progress could in theory see the country’s power sector emissions peak within months, rather than the late-2020s date the government has hinted at. Combined with a smaller quantity of hydro and nuclear, low-emissions sources will probably add about 310 terawatt-hours to zero-carbon generation this year. That 3.8% increase would be sufficient to power the U.K.

Countries that have reached China’s levels of per-capita electricity consumption (already on a par with most of Europe) typically see growth rates at less than half that level, even as global power demand has surged past pre-pandemic levels in recent years. Grid supply could grow at a faster pace than Brazil, Iran, South Korea or Thailand managed over the past decade without adding a ton of additional carbon to the atmosphere.

There’s a problem with that picture, however. If electricity demand grows at an even more headlong pace, there simply won’t be enough renewables to supply the grid. Fossil fuels, overwhelmingly coal, will fill the gap, a reminder of the iron law of climate dynamics in energy transitions.

Such an outcome looks distinctly possible. Electricity consumption in 2021 grew at an extraordinary rate of 10%, and will increase again by between 5% and 6% this year, according to the CEC. That suggests the country is on pace to match the CEC’s forecasts of bullish grid demand over the coming decade, with generation hitting 11,300 terawatt-hours in 2030. External analysts, such as the International Energy Agency and BloombergNEF, envisage a more modest growth to around 10,000 TWh. 

The difference between those two outlooks is vast — equivalent to all the electricity produced by Russia or Japan. If the CEC is right and the IEA and BloombergNEF are wrong, even the furious rate of renewable installations we’re seeing now won’t be enough to rein in China’s power-sector emissions.

Who’s correct? On one hand, it’s fair to say that power planners usually err on the side of overestimation. If your forecast for electricity demand is too high, state-owned generators will be less profitable than they otherwise would have been — but if it’s too low, you’ll see power cuts and shutdowns like China witnessed last autumn, with resulting power woes affecting supply chains beyond its borders.

On the other hand, the decarbonization of China’s economy itself should drive electricity demand well above what we’ve seen in the past, with some projections such as electricity meeting 60% of energy use by 2060 pointing to a profound shift. Some 3.3 million electric vehicles were sold in 2021 and BloombergNEF estimates a further 5.7 million will be bought in 2022. Every million EVs will likely add in the region of 2 TWh of load to the grid. Those sums quickly mounts up in a country where electric drivetrains are taking over a market that shifts more than 25 million new cars a year.

Decarbonizing industry, a key element on China’s road to zero emissions, could also change the picture. The IEA sees the country building 25 GW of electolysers to produce hydrogen by 2030, enough to consume some 200 TWh on their own if run close to full-time.

That’s still not enough to justify the scale of demand being forecast, though. China is already one of the least efficient countries in the world when it comes to translating energy into economic growth, and despite official pressure on the most wasteful, so called “dual-high” industries such as steel, oil refining, glass and cement, its targets for more thrifty energy usage remain pedestrian.

The countries that have decarbonized fastest are those, such as Germany, the U.K and the U.S., where Americans are using less electricity, that have seen power demand plateau or even decline, giving new renewable power a chance to swap out fossil-fired generators without chasing an ever-increasing burden on the grid. China’s inability to do this as its population peaks and energy consumption hits developed-country levels isn’t a sign of strength.

Instead, it’s a sign of a country that’s chronically unable to make the transition away from polluting heavy industry and toward the common prosperity and ecological civilization that its president keeps promising. Until China reins in that credit-fueled development model, the risks to its economy and the global climate will only increase.

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Urban Piezoelectric Energy Textiles capture wind-driven motion on tunnels, bridges, and facades, enabling renewable microgeneration for smart cities with decentralized power, resilient infrastructure, and flexible lamellae sheets that harvest airflow vibrations.

Key Points

Flexible piezoelectric sheets that convert urban wind and vibration into electricity on tunnels, bridges, and facades.

✅ Installed on London Crossrail to test airflow energy capture

✅ Flexible lamellae panels retrofit tunnels, bridges, facades

✅ Supports decentralized, resilient urban microgrids

Charlotte Slingsby and her startup Moya Power are researching piezo-electric textiles that gain energy from movement, similar to advances like a carbon nanotube energy harvester being explored by materials researchers. It seems logical that Slingsby originally came from a city with a reputation for being windy: “In Cape Town, wind is an energy source that you cannot ignore,” says the 27-year-old, who now lives in London.

Thanks to her home city, she also knows about power failures. That’s why she came up with the idea of not only harnessing wind as an alternative energy source by setting up wind farms in the countryside or at sea, but also for capturing it in cities using existing infrastructure.

The problem

The United Nations estimates that by 2050, two thirds of the world’s population will live in cities. As a result, the demand for energy in urban areas will increase dramatically, spurring interest in nighttime renewable technology that can operate when solar and wind are variable. Can the old infrastructure grow fast enough to meet demand? How might we decentralise power generation, moving it closer to the residents who need it?

For a pilot project, she has already installed grids of lamellae-covered plastic sheets in tunnels on London Crossrail routes; the draft in the tube causes the protrusions to flutter, which then generates electricity.

“If we all live in cities that need electricity, we need to look for new, creative ways to generate it, including nighttime solar cells that harvest radiative cooling,” says Slingsby, who studied design and engineering at Imperial College and the Royal College of Art. “I wanted to create something that works in different situations and that can be flexibly adapted, whether you live in an urban hut or a high-rise.”

The yield is low compared to traditional wind power plants and is not able to power whole cities, but Slingsby sees Moya Power as just a single element in a mixture of urban energy sources, alongside approaches like gravity power that aid grid decarbonization.

In the future, Slingsby’s invention could hang on skyscrapers, in tunnels or on bridges – capturing power in the windiest parts of the city, alongside emerging air-powered generators that draw energy from humidity. The grey concrete of tunnels and urban railway cuttings could become our cities’ most visually appealing surfaces...

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UK Offshore Wind Expansion will make wind the main power source, driving renewable energy, offshore projects, smart grids, battery storage, and interconnectors to cut carbon emissions, boost exports, and attract global investment.

Key Points

A UK strategy to scale offshore wind, integrate smart grids and storage, cut emissions and drive investment and exports

✅ 30% energy target by 2030, backed by CfD support

✅ 250m industry investment and smart grid build-out

✅ Battery storage and interconnectors balance intermittency

Plans are afoot to make wind the UKs main power source for the first time in history amid ambitious targets to generate 30 percent of its total energy supply by 2030, up from 8 percent at present.

A recently inked deal will see the offshore wind industry invest 250 million into technology and infrastructure over the next 11 years, with the government committing up to 557 million in support, under a renewable energy auction that boosts wind and tidal projects, as part of its bid to lower carbon emissions to 80 percent of 1990 levels by 2050.

Offshore wind investment is crucial for meeting decarbonisation targets while increasing energy production, says Dominic Szanto, Director, Energy and Infrastructure at JLL. The governments approach over the last seven years has been to promise support to the industry, provided that cost reduction targets were met. This certainty has led to the development of larger, more efficient wind turbines which means the cost of offshore wind energy is a third of what it was in 2012.

Boosting the wind industry

Offshore wind power has been gathering pace in the UK and has grown despite COVID-19 disruptions in recent years. Earlier this year, the Hornsea One wind farm, the worlds largest offshore generator which is located off the Yorkshire coast, started producing electricity. When fully operational in 2020, the project will supply energy to over a million homes, and a further two phases are planned over the coming decade.

Over 10 gigawatts of offshore wind either already has government support or is eligible to apply for it in the near future, following a 10 GW contract award that underscores momentum, representing over 30 billion of likely investment opportunities.

Capital is coming from European utility firms and increasingly from Asian strategic investors looking to learn from the UKs experience. The attractive government support mechanism means banks are keen to lend into the sector, says Szanto.

New investment in the UKs offshore wind sector will also help to counter the growing influence of China. The UK is currently the worlds largest offshore wind market, but by 2021 it will be outstripped by China.

Through its new deal, the government hopes to increase wind power exports fivefold to 2.6 billion per year by 2030, with the UKs manufacturing and engineering skills driving projects in growth markets in Europe and Asia and in developing countries supported by the World Bank support through financing and advisory programs.

Over the next two decades, theres a massive opportunity for the UK to maintain its industry leading position by designing, constructing, operating and financing offshore wind projects, says Szanto. Building on projects such as the Hywind project in Scotland, it could become a major export to countries like the USA and Japan, where U.S. lessons from the U.K. are informing policy and coastal waters are much deeper.

Wind-powered smart grids

As wind power becomes a major contributor to the UKs energy supply, which will be increasingly made up of renewable sources in coming decades, there are key infrastructure challenges to overcome.

A real challenge is that the UKs power generation is becoming far more decentralised, with smaller power stations such as onshore wind farms and solar parks and more prosumers residential houses with rooftop solar coupled with a significant rise in intermittent generation, says Szanto. The grid was never designed to manage energy use like that.

One potential part of the solution is to use offshore wind farms in other sites in European waters.

By developing connections between wind projects from neighbouring countries, it will create super-grids that will help mitigate intermittency issues, says Szanto.

More advanced energy storage batteries will also be key for when less energy is generated on still days. There is a growing need for batteries that can store large amounts of energy and smart technology to discharge that energy. Were going through a revolution where new technology companies are working to enable a much smarter grid.

Future smart grids, based on developing technology such as blockchain, might enable the direct trading of energy between generators and consumers, with algorithms that can manage many localised sources and, critically, ensure a smooth power supply.

Investors seeking a higher-yield market are increasingly turning to battery technology, Szanto says. In a future smart grid, for example, batteries could store electricity bought cheaply at low-usage times then sold at peak usage prices or be used to provide backup energy services to other companies.

Majors investing in the transition

Its not just new energy technology companies driving change; established oil and gas companies are accelerating spending on renewable energy. Shell has committed to $1-2 billion per year on clean energy technologies out of a $25-30 billion budget, while Equinor plans to spend 15-20 percent of its budget on renewables by 2030.

The oil and gas majors have the global footprint to deliver offshore wind projects in every country, says Szanto. This could also create co-investment opportunities for other investors in the sector especially as nascent wind markets such as the U.S., where the U.S. offshore wind timeline is still developing, and Japan evolve.

European energy giants, for example, have bid to build New Yorks first offshore wind project.

As offshore wind becomes a globalised sector, with a trillion-dollar market outlook emerging, the major fuel companies will have increasingly large roles. They have the resources to undertake the years-long, cost-intensive developments of wind projects, driven by a need for new business models as the world looks beyond carbon-based fuels, says Szanto.

Oil and gas heavyweights are also making wind, solar and energy storage acquisitions BP acquired solar developer Lightsource and car-charging network Chargemaster, while Shell spent $400 million on solar and battery companies.

The public perception is that renewable energy is niche, but its now a mainstream form of energy generation., concludes Szanto.

Every nation in the world is aligned in wanting a decarbonised future. In terms of electricity, that means renewable energy and for offshore wind energy, the outlook is extremely positive.

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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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