Liberals would help pay Point Lepreau overruns

By CBC.ca


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The federal government has a responsibility to help cover some of the estimated $1 billion in cost overruns on the Point Lepreau refurbishment project, Liberal Leader Michael Ignatieff said.

In an interview with CBC News, Ignatieff said that New Brunswick should receive some compensation for the cost overruns associated with refurbishing Atlantic Canada's only nuclear reactor.

The upgrade of the nuclear reactor is three years behind schedule. It's costing about a million dollars a day for replacement power.

Conservative Leader Stephen Harper has repeatedly said that Atomic Energy of Canada Ltd., which is overseeing the refurbishment project, would honour its contractual obligations, but it would not pay any additional costs.

Ignatieff said if he's elected May 2, he would sit down with Premier David Alward to discuss possible compensation for the New Brunswick government.

"I know that a lot of New Brunswickers feel they are stuck with the Point Lepreau problem and it potentially adds millions and millions and millions of dollars to New Brunswickers' energy costs," Ignatieff said.

"This is not a problem the federal government can walk away from. AECL is a Crown corporation so we have some responsibility. I don't know all the details. I do know that I will sit with the premier when we get into office and say what do we do, how do we dig this one out together."

When pressed on how much Ignatieff thought the federal government should ante up to cover the cost overruns, the Liberal leader would not offer a specific figure.

Progressive Conservative MLAs voted in favour of the Liberal motion asking the federal government to cover all cost overruns at the project.

Energy Minister Craig Leonard said the government may have some leverage given the election campaign.

"If there's an opportunity to enter into a dialogue with the federal government as a result of the election, we're certainly not going to pass that up. So as a result of the opposition motion, we felt we had to agree with it, as we would anyways, regardless of an election or not, because it simply says what we've been saying all along," said Leonard.

The reactor was supposed to be generating power again in September 2009. It is now expected Point Lepreau will not be running again until fall 2012.

The delays were caused when dozens of calandria tubes flunked air tightness tests after being fused with special inserts designed to hold them in place.

The calandria tubes — made to house smaller nuclear pressure tubes, which in turn contain radioactive nuclear fuel bundles — were the first major pieces of equipment to be installed in the reactor as part of Point Lepreau's much delayed refurbishment. The tubes had to be taken out and then reinstalled.

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How Bitcoin's vast energy use could burst its bubble

Bitcoin Energy Consumption drives debate on blockchain mining, proof-of-work, carbon footprint, and emissions, with CCAF estimates in terawatt hours highlighting electricity demand, fossil fuel reliance, and sustainability concerns for data centers and cryptocurrency networks.

 

Key Points

Electricity used by Bitcoin proof-of-work mining, often fossil-fueled, estimated by CCAF in terawatt hours.

✅ CCAF: 40-445 TWh, central estimate ~130 TWh

✅ ~66% of mining electricity sourced from fossil fuels

✅ Proof-of-work increases hash rate, energy, and emissions

 

The University of Cambridge Centre for Alternative Finance (CCAF) studies the burgeoning business of cryptocurrencies.

It calculates that Bitcoin's total energy consumption is somewhere between 40 and 445 annualised terawatt hours (TWh), with a central estimate of about 130 terawatt hours.

The UK's electricity consumption is a little over 300 TWh a year, while Argentina uses around the same amount of power as the CCAF's best guess for Bitcoin, as countries like New Zealand's electricity future are debated to balance demand.

And the electricity the Bitcoin miners use overwhelmingly comes from polluting sources, with the U.S. grid not 100% renewable underscoring broader energy mix challenges worldwide.

The CCAF team surveys the people who manage the Bitcoin network around the world on their energy use and found that about two-thirds of it is from fossil fuels, and some regions are weighing curbs like Russia's proposed mining ban amid electricity deficits.

Huge computing power - and therefore energy use - is built into the way the blockchain technology that underpins the cryptocurrency has been designed.

It relies on a vast decentralised network of computers.

These are the so-called Bitcoin "miners" who enable new Bitcoins to be created, but also independently verify and record every transaction made in the currency.

In fact, the Bitcoins are the reward miners get for maintaining this record accurately.

It works like a lottery that runs every 10 minutes, explains Gina Pieters, an economics professor at the University of Chicago and a research fellow with the CCAF team.

Data processing centres around the world, including hotspots such as Iceland's mining strain, race to compile and submit this record of transactions in a way that is acceptable to the system.

They also have to guess a random number.

The first to submit the record and the correct number wins the prize - this becomes the next block in the blockchain.

Estimates for bitcoin's electricity consumption
At the moment, they are rewarded with six-and-a-quarter Bitcoins, valued at about $50,000 each.

As soon as one lottery is over, a new number is generated, and the whole process starts again.

The higher the price, says Prof Pieters, the more miners want to get into the game, and utilities like BC Hydro suspending new crypto connections highlight grid pressures.

"They want to get that revenue," she tells me, "and that's what's going to encourage them to introduce more and more powerful machines in order to guess this random number, and therefore you will see an increase in energy consumption," she says.

And there is another factor that drives Bitcoin's increasing energy consumption.

The software ensures it always takes 10 minutes for the puzzle to be solved, so if the number of miners is increasing, the puzzle gets harder and the more computing power needs to be thrown at it.

Bitcoin is therefore actually designed to encourage increased computing effort.

The idea is that the more computers that compete to maintain the blockchain, the safer it becomes, because anyone who might want to try and undermine the currency must control and operate at least as much computing power as the rest of the miners put together.

What this means is that, as Bitcoin gets more valuable, the computing effort expended on creating and maintaining it - and therefore the energy consumed - inevitably increases.

We can track how much effort miners are making to create the currency.

They are currently reckoned to be making 160 quintillion calculations every second - that's 160,000,000,000,000,000,000, in case you were wondering.

And this vast computational effort is the cryptocurrency's Achilles heel, says Alex de Vries, the founder of the Digiconomist website and an expert on Bitcoin.

All the millions of trillions of calculations it takes to keep the system running aren't really doing any useful work.

"They're computations that serve no other purpose," says de Vries, "they're just immediately discarded again. Right now we're using a whole lot of energy to produce those calculations, but also the majority of that is sourced from fossil energy, and clean energy's 'dirty secret' complicates substitution."

The vast effort it requires also makes Bitcoin inherently difficult to scale, he argues.

"If Bitcoin were to be adopted as a global reserve currency," he speculates, "the Bitcoin price will probably be in the millions, and those miners will have more money than the entire [US] Federal budget to spend on electricity."

"We'd have to double our global energy production," he says with a laugh, even as some argue cheap abundant electricity is getting closer to reality today. "For Bitcoin."

He says it also limits the number of transactions the system can process to about five per second.

This doesn't make for a useful currency, he argues.

Rising price of bitcoin graphic
And that view is echoed by many eminent figures in finance and economics.

The two essential features of a successful currency are that it is an effective form of exchange and a stable store of value, says Ken Rogoff, a professor of economics at Harvard University in Cambridge, Massachusetts, and a former chief economist at the International Monetary Fund (IMF).

He says Bitcoin is neither.

"The fact is, it's not really used much in the legal economy now. Yes, one rich person sells it to another, but that's not a final use. And without that it really doesn't have a long-term future."

What he is saying is that Bitcoin exists almost exclusively as a vehicle for speculation.

So, I want to know: is the bubble about to burst?

"That's my guess," says Prof Rogoff and pauses.

"But I really couldn't tell you when."

 

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BC Hydro electricity demand down 10% amid COVID-19 pandemic

BC Hydro electricity demand decline reflects COVID-19 impacts across British Columbia, with reduced industrial load, full reservoirs, strategic spilling, and potential rate increases, as hydropower plants adjust operations at Seven Mile, Revelstoke, and Site C.

 

Key Points

A 10% COVID-19-driven drop in BC power use, prompting reservoir spilling, plant curtailment, and potential rate hikes.

✅ 10% load drop; industrial demand down 7% since mid-March

✅ Reservoirs near capacity; controlled spilling to mitigate risk

✅ Possible rate hikes; Site C construction continues

 

Elecricity demand is down 10 per cent across British Columbia, an unprecedented decline in commercial electricity consumption sparked by the COVID-19 pandemic, according to a BC Hydro report.

Power demand across hotels, offices, recreational facilities and restaurants have dwindled as British Columbians self isolate, and bill relief for residents and businesses was introduced during this period.

The shortfall means there's a surplus of water in reservoirs across the province.

"This drop in load in addition to the spring snow melt is causing our reservoirs to reach near capacity, which could lead to environmental concerns, as well as public safety risks if we don't address the challenges now," said spokesperson Tanya Fish.

Crews will have to strategically spill reservoirs to keep them from overflowing, a process that can have negative impacts on downstream ecosystems. Excessive spilling can increase fish mortality rates.

Spilling is currently underway at the Seven Mile and Revelstoke reservoirs. In addition, several small plants have been shut down.

Site C and hydro rates
According to the report, titled Demand Dilemma, the decline could continue into April 2021 and drop by another two per cent, even as a regulator report alleged BC Hydro misled oversight bodies.

Major industry — forestry, mining and oil and gas — accounts for about 30 per cent of BC Hydro's overall electricity load. Energy demand from these customers has dropped by seven per cent since mid-March, while in Manitoba a Consumers Coalition has urged rejection of proposed rate increases.

BC Hydro says a prolonged drop in demand could have an impact on future rates, which could potentially go up as the power provider looks to recoup deferred operating costs and financial losses.

In Manitoba, Manitoba Hydro's debt has grown significantly, underscoring the financial risks utilities face during demand shocks.

Fish said the crown corporation still expects there to be increased demand in the long-term. She said construction of the Site C Dam is continuing as planned to support clean-energy generation in the province. There are currently nearly 1,000 workers on-site.

 

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Avista Commissions Largest Solar Array in Washington

Adams Nielson Solar Array, a 28 MW DC utility-scale project in Lind, WA, spans 200 acres with 81,700 panels, powering about 4,000 homes, supporting Avista’s Solar Select program and renewable energy, sustainability, and carbon reduction.

 

Key Points

Adams Nielson Solar Array is a 28 MW DC facility in Lind, WA, powering ~4,000 homes via Avista’s Solar Select.

✅ 81,700 panels across 200 acres in Eastern Washington

✅ Offsets emissions equal to removing 7,300 cars annually

✅ Collaboration by Avista, Strata Solar, WUTC, WSU Energy

 

Official commissioning of the Adams Nielson solar array located in Lind, WA occurred today. The 28 Megawatt DC array is comprised of 81,700 panels that span 200 acres and generates enough electricity to supply the equivalent of approximately 4,000 homes annually, similar to a new co-op solar project serving South Metro members.

“Avista’s interest in the development of Solar Select, a voluntary commercial solar program reflecting broader corporate adoption such as a corporate solar power plant commissioned by Arvato, is consistent with the Company’s ongoing commitment to provide customers with renewable energy choices at reasonable cost,” said Dennis Vermillion, president, Avista Corporation. “In recent years, an increasing number of Avista customers have expressed their expectations and challenges in acquiring renewable energy. Avista is pleased to lead this effort and develop renewable energy products that meet our customers’ needs today and into the future.” This interest is being generated by a mix of local and national customers across a variety of industries, including Huckleberry’s, Gonzaga University, Community Colleges of Spokane, Hotstart, Central Pre-Mix Concrete, a CRH Co., independently owned McDonald's franchise locations, Spokane City, Main Market and Community Building and VA Medical Center.

Jim Simon, director of sustainability at Gonzaga University said, “The Solar Select program helps Gonzaga University move even closer to achieving its goal of climate neutrality by 2050 by continuing to prioritize renewables in our energy portfolio, as other communities add projects like a municipal solar project to boost local supply. We are grateful for Avista’s leadership in this project and look forward to other opportunities to reduce our greenhouse gas emissions.”

Spokane Mayor David Condon said, “The City of Spokane is pleased to partner with Avista through the Solar Select Program, as we continue to seek out opportunities that are both environmentally and financially responsible. The City already is a net producer of energy, generating more clean, green energy than our use of electricity, natural gas, and fuel, a milestone also seen with North Carolina's first wind farm now fully operational. We are excited to add even more clean energy to power City Hall.”

The Solar Select program created a cost-effective structure to bring solar energy to large business customers in Eastern Washington, allowing them to advance their desired sustainability goals and benefiting from industry service innovations led by companies like Omnidian expanding their global reach. The array is projected to deliver the environmental benefit equivalent of more than 7,300 cars removed from the road each year. This renewable energy program was made possible through a collaboration of Avista, Strata Solar, the Washington Utilities and Transportation Commission, and the WSU Energy Program. 

 

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ERCOT Issues RFP to Procure Capacity to Alleviate Winter Concerns

ERCOT Winter Capacity RFP seeks up to 3,000 MW through generation and demand response to bolster Texas grid reliability during peak load, leveraging Reliability Must-Run, incentive factors, and EEA risk mitigation for the 2023-24 season.

 

Key Points

An ERCOT initiative to procure 3,000 MW of generation and demand response to reduce EEA risk and improve reliability.

✅ Targets 3,000 MW from generation and demand response

✅ Uses RMR-style contracts with flexible incentive factors

✅ Aims to lower EEA probability below 10% this winter

 

The Electric Reliability Council of Texas (ERCOT) issued a request for proposals to stakeholders to procure up to 3,000 MW of generation or demand response capacity to meet load and reserve requirements during the winter 2023-24 peak load season (Dec. 1, 2023, through Feb. 29, 2024), amid ongoing Texas power grid challenges across the region.

ERCOT cited “several factors, including significant peak load growth since last winter, recent and proposed retirements of dispatchable Generation Resources, and recent extreme winter weather events, including Winter Storm Elliott in December 2022, Winter Storm Uri in February 2021, and the 2018 and 2011 winter storms, each of which resulted in abnormally high demand during winter weather.” It now seeks additional capacity under its “authority to prevent an anticipated Emergency Condition,” reflecting nationwide blackout risks identified by grid experts.

In its notice regarding the RFP, ERCOT identified a number of mothballed and recently decommissioned generation resources that may be eligible to offer capacity under the RFP. It further stated that offers must comport with the format of its “Reliability Must-Run” agreement but could include a proposed “Incentive Factor” that reflects the revenues the unit owners determine would be necessary to bring the unit back to operation. It added that the Incentive Factor is not necessarily limited to 10%. Providers of eligible demand response can submit offers based on similar principles that are not necessarily constrained by cost. The notice identifies potential acceptable sources of demand response, describes certain parameters for the kinds of demand response that are permitted to respond to the RFP, and outlines the time periods during which ERCOT must be able to deploy the demand response resources to improve electricity reliability across the system.

To meet the Dec. 1, 2023, service start date, ERCOT developed an aggressive timeline to solicit and evaluate proposals through the RFP. Responses to the RFP are due Nov. 6, 2023. ERCOT’s schedule provides that it will notify market participants that obtain awards on Nov. 23, 2023. Expect contracts to be executed by Nov. 30, 2023.

Unlike Regional Transmission Organizations in the Northeastern United States, ERCOT does not have a capacity market. Instead, ERCOT relies on a high price cap of $5,000 per MWh for its energy market (decreased from the $9,000 per MWh cap in effect during Winter Storm Uri) and an Operating Reserve Demand Curve adder that pays additional funds to generators supplying power and ancillary services, an area recently scrutinized for improper payments when supply conditions are tight. In the wake of Winter Storm Uri, some calls were made to have ERCOT adopt a capacity market for reliability reasons, and a number of legal battles continue to play out in the wake of Winter Storm Uri. (See recent McGuireWoods legal alert “Winter Storm Uri Power Dispute Reaches the Supreme Court of Texas.”) Though a capacity market was not adopted, the Texas Legislature approved a $7.2 billion loan program, widely described as an electricity market bailout for generators, to build up to 10,000 MW of dispatchable generation. The legislature also approved a version of the Public Utility Commission of Texas’ proposal to establish a “Performance Credit Mechanism,” but with a cost cap of $1 billion.

The loss of life and economic impacts of Winter Storm Uri in 2021, along with the energy crunches and calls for conservation this past summer, are driving changes to ERCOT’s “energy-only” market, including electricity market reforms under consideration. Texas policymakers are providing multiple financial incentives to promote investment in dispatchable on-demand generation, and voters will consider funding to modernize generation measures this year to make the Texas grid more reliable and able to deal with power demand from a growing economy and increased demand for electricity driven by weather. In the meantime, ERCOT’s plan to procure 3,000 MW through this RFP process is a stopgap measure intended to bolster reliability for the upcoming winter season and lower the probability of load shed in the event of severe winter weather.

 

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Texas utilities struggle to restore power as Harvey hampers progress

Texas Gulf Coast Power Outages from Harvey continue as flooding, high winds, and downed lines paralyze Houston and coastal utilities, while restoration crews from out-of-state work to repair infrastructure and restore electricity across impacted communities.

 

Key Points

Power disruptions across Houston and the Gulf Coast from Harvey, driven by flooding, wind damage, and blocked access.

✅ CenterPoint warns multi-day outages in flooded zones.

✅ AEP Texas aided by crews from Kentucky, Illinois, Missouri.

✅ Entergy expects more outages as storm nears Galveston.

 

Hundreds of thousands of Texans were without power along the Gulf Coast as Tropical Storm Harvey left parts of the Houston area under water, with extended Houston outages compounding response efforts.

There were roughly 280,000 customers without power along the Texas's coast and in Houston and the surrounding areas on Monday, according to reported outages by the state's investor-owned utilities. Harvey, which made landfall on Friday, caused devastating flooding and knocked out power lines along its destructive path, similar to the Louisiana grid rebuild after Laura that required weeks of restoration.

CenterPoint Energy reported more than 100,000 outages earlier on Monday, though that figure was down to 91,744 shortly after 1 p.m. on Monday.

The company said it was unable to access hard-hit areas until floodwaters recede and electric infrastructure dries out, a challenge that, as seen in Florida power restoration efforts elsewhere, has taken weeks to resolve. Outages in the most flooded areas could last for several days, CenterPoint warned.

AEP Texas's coverage area south of Houston had 150,500 customers without electricity as of 11 a.m. ET on Monday. That was down from the peak of its outages on Saturday afternoon, which affected 220,000 customers.

Former FEMA deputy director: Texas has already begun recovery from storm  1:54 PM ET Mon, 28 Aug 2017 | 05:57

Corpus Christi and the surrounding areas along the Gulf Coast were still experiencing the most outages, while persistent Toronto outages after a spring storm underscored how long recovery can take in urban areas. AEP credited assistance from out-of-state workers for helping to get the lights back on.

"Thousands of resources have arrived from across the country to help AEP Texas with restoration efforts following this historic weather event. Crews from Kentucky, Illinois, Missouri and other states have arrived and are working on restoring power to those impacted by Hurricane Harvey," AEP said in a statement.

Entergy reported 29,500 customers were without power on Monday in areas north of Houston. The company warned that additional outages were expected if Harvey moves inland near the island city of Galveston on Wednesday as anticipated, a pattern similar to New Orleans during Ida where electricity failed despite levees holding.

Houston, Beaumont and Victoria are expected to see continued periods of torrential rain through Tuesday, before Harvey begins to move north on Wednesday and out of the flood zone by Thursday.

"Our crews are safely restoring power as quickly as possible, but the continued wind, rain and flooding are having an impact on restoration efforts," Entergy said in a statement.

South of Houston, about 7,500 Texas New Mexico Power Company customers were still experiencing outages, according to the company's outage map.

 

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How utilities are using AI to adapt to electricity demands

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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