Electrical fire shuts down one generator at Norris Dam

Alberta Solar Energy Contracts secure low-cost photovoltaic PPAs for government operations, delivering renewable electricity at 4.8 cents/kWh, beating natural gas LCOE, enhancing summer grid efficiency across Hays, Tilley, and Jenner with Canadian Solar.

Key Points

Low-cost PV power agreements meeting 55% of Alberta government electricity demand via new Canadian Solar facilities.

✅ Price: 4.8 cents/kWh CAD, under gas-fired generation LCOE.

✅ Sites: Hays, Tilley, Jenner; 50% equity with Conklin Métis Local #193.

✅ Supplies 55% of provincial government electricity demand.

Three new solar electricity facilities to be built in south eastern Alberta (Canada) amid Alberta's solar growth have been selected through a competitive process to supply the Government of Alberta with 55 per cent of their annual electricity needs. The facilities will be built near Hays, Tilley, and Jenner, by Canadian Solar with Conklin Métis Local #193 as 50-percent equity owners.

The Government of Alberta's operations have been powered 100 per cent with wind power since 2007. Upon the expiration of some of these contracts, they have been renewed to switch from wind to solar energy. The average contract pricing will be $0.048 per kilowatt hour (3.6 cents/kWh USD), which is less than the average historical wholesale power pool price paid to natural gas-fired electricity in the province in years 2008 - 2018.

"The conversation about solar energy has long been fixated on its price competitiveness with fossil fuels," said John Gorman, CanSIA President & CEO. "Today's announcement demonstrates that low cost solar energy has arrived as a mainstream option in Alberta, even as demand for solar lags in Canada according to federal assessments. The conversation should next focus on how to optimize an all-of-the-above strategy for developing the province's renewable and non-renewable resources."

"This price discovery is monumental for the solar industry in Canada" said Patrick Bateman, CanSIA Director of Policy & Market Development. "At less than five cents per kilowatt hour, this solar electricity has a cost that is less than that of natural gas. Achieving Alberta's legislated 30 per cent by 2030 renewable electricity target just became a whole lot cheaper!".

Quick Facts:

• The contract price of 4.8 cents/kWh CAD to be paid by Alberta Infrastructure for this solar electricity represents a lower Levelized Cost of Electricity (LCOE) than the average annual wholesale price paid by the power pool to combined-cycle and single-cycle natural gas-fired electricity generation which was 7.1 cents/kWh and 11.2 cents/kWh respectively from 2008 - 2018.

• Alberta receives more hours of sunshine than Miami, Florida in the summer months. Alberta's electricity supply is most strained in summer, highlighting challenges for solar expansion when high temperatures increase the resistance of the distribution and transmission systems, and reduce the efficiency of cooling thermal power plants. For this reason, solar facilities sited near to electricity demand improves overall grid efficiency. Supply shortages are atypical in Alberta in winter when solar energy is least available. When they do occur, imports are increased and large loads are decreased.

• In 2018, Alberta's solar electricity generation exceeded 50 MW. While representing much less than 1% of the province's electricity supply today, the Canadian Solar Industries Association (CanSIA) forecasts that solar energy could supply as much as 3 per cent of the province's electricity by 2030, supporting renewable energy job growth across Alberta. A recent supply chain study of the solar electricity sector in Alberta by Solas Energy Consulting Inc. found a potential of $4.1 billion in market value and a labour force rising to 10,000 in 2030.

To learn more about solar energy and the best way for consumers to go solar, please visit the Canadian Solar Industries Association at www.CanSIA.ca.

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Latvia Astravets electricity imports weigh AST purchases from the Belarusian nuclear plant, impacting the Baltic grid, Lithuania market, energy security, and cross-border trading as Latvia seeks to mitigate supply risks and stabilize power flows.

Key Points

Proposed AST purchases of power from Belarus's Astravets plant to bolster Baltic grid supply via Lithuania.

✅ AST evaluates imports to mitigate supply risk

✅ Energy could enter Lithuania via existing trading route

✅ Debate centers on nuclear safety and Baltic grid impacts

Latvia’s electricity transmission system operator, AST, is looking at the possibility of purchasing electricity from the soon-to-be completed Belarusian nuclear power plant in Astravets, at a time when Ukraine's electricity exports have resumed in the region, long criticised by the Lithuanian government, Belsat TV has reported.

According to the Latvian media, the Latvian government is seeking to mitigate the risk of a possible drop in electricity supplies amid price spikes in Ireland highlighting dispatchable power concerns, given that energy trading between the Baltic states and third parties is currently carried out only through the Belarusian-Lithuanian border, including Latvian imports from Lithuania.

If AST starts importing electricity from the Belarusian plant to Latvia, in a pattern similar to Georgia's electricity imports during peak demand, the energy is expected to enter the Lithuanian market as well.

Such cross-border flows also mirror responses to Central Asia's electricity shortages seen recently.

The Lithuanian government has repeatedly criticised the nuclear power over national security and environmental safety concerns, as well as a number of emergencies that took place during construction, particularly as Europe is losing nuclear power and confronting energy security challenges.

Debates over infrastructure and safety have also intensified by projects like power lines to reactivate Zaporizhzhia in Ukraine.

The first Astravets reactor, which is being built close to the Lithuanian border in the Hrodno region, is expected to be operational by the end of 2019, a year that saw Belgium's nuclear exports rise across Europe.

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Hinkley Point C Reactor Installation signals UK energy security, nuclear power expansion, and low-carbon baseload, featuring EPR technology in Somerset to cut emissions, support net-zero goals, and deliver reliable electricity for homes and businesses.

Key Points

First EPR unit fitted at Hinkley Point C, boosting low-carbon baseload, grid reliability, and UK energy security.

✅ Generates 3.2 GW across two EPRs for 7% of UK electricity.

✅ Provides low-carbon baseload to complement wind and solar.

✅ Creates jobs and strengthens supply chains during construction.

The United Kingdom has made a significant stride toward securing its energy future with the installation of the first reactor at its newest nuclear power station. This development marks an important milestone in the nation’s efforts to combat climate change, reduce carbon emissions, and ensure a stable and sustainable energy supply. As the world moves towards greener alternatives to fossil fuels, nuclear power remains a key part of the UK's green industrial revolution and low-carbon energy strategy.

The new power station, located at Hinkley Point C in Somerset, is set to be one of the most advanced nuclear facilities in the country. The installation of its reactor represents a crucial step in the construction of the plant, with earlier milestones like the reactor roof lifted into place underscoring steady progress, which is expected to provide reliable, low-carbon electricity for millions of homes and businesses across the UK. The completion of the first reactor is seen as a pivotal moment in the journey to bring the station online, with the second reactor expected to follow shortly after.

A Historic Milestone

Hinkley Point C will be the UK’s first nuclear power station built in over two decades. The plant, once fully operational, will play a key role in the country's energy transition. The reactors at Hinkley Point C are designed to be state-of-the-art, using advanced technology that is both safer and more efficient than older nuclear reactors. Each of the two reactors will have the capacity to generate 1.6 gigawatts of electricity, enough to power approximately six million homes. Together, they will contribute about 7% of the UK’s electricity needs, providing a steady, reliable source of energy even during periods of high demand.

The installation of the first reactor at Hinkley Point C is not just a technical achievement; it is also symbolic of the UK’s commitment to energy security and its goal to achieve net-zero carbon emissions by 2050, a target that industry leaders say multiple new stations will be needed to meet effectively. Nuclear power is a crucial part of this equation, as it provides a stable, baseload source of energy that does not rely on weather conditions, unlike wind or solar power.

Boosting the UK’s Energy Capacity

The addition of Hinkley Point C to the UK’s energy infrastructure is expected to significantly boost the country’s energy capacity and reduce its reliance on fossil fuels. The UK government has been focused on increasing the share of renewable energy in its mix, and nuclear power is seen as an essential complement to intermittent renewable sources, especially as wind and solar have surpassed nuclear in generation at times. Nuclear energy is considered a low-carbon, reliable energy source that can fill the gaps when renewable generation is insufficient, such as on cloudy or calm days when solar and wind energy output may be low.

With the aging of the UK’s existing nuclear fleet and the gradual phase-out of coal-fired power plants, Hinkley Point C will help ensure that the country does not face an energy shortage as it transitions to cleaner energy sources. The plant will help to bridge the gap between the current energy infrastructure and the future, enabling the UK to phase out coal while maintaining a steady, low-carbon energy supply.

Safety and Technological Innovation

The reactors at Hinkley Point C are being constructed using the latest in nuclear technology. They are based on the European Pressurized Reactor (EPR) design, which is known for its enhanced safety features and efficiency, and has been deployed in projects within China's nuclear program as well, making it a proven platform. These reactors are designed to withstand extreme conditions, including earthquakes and flooding, making them highly resilient. Additionally, the EPR technology ensures that the reactors have a low environmental impact, producing minimal waste and offering the potential for increased sustainability compared to older reactor designs.

One of the key innovations in the Hinkley Point C reactors is their advanced cooling system, which is designed to be more efficient and environmentally friendly than previous generations. This system ensures that the reactors operate at optimal temperatures while minimizing the environmental footprint of the plant.

Economic and Job Creation Benefits

The construction of Hinkley Point C has already provided a significant boost to the local economy. Thousands of jobs have been created, not only in the construction phase but also in the ongoing operation and maintenance of the facility. The plant is expected to create more than 25,000 jobs during its construction and around 900 permanent jobs once it is operational.

The project is also expected to have a positive impact on the wider UK economy. As a major infrastructure project, Hinkley Point C will provide long-term economic benefits, including boosting supply chains and providing opportunities for local businesses.

Challenges and the Road Ahead

Despite the progress, the construction of Hinkley Point C has not been without its challenges. The project has faced delays and cost overruns, with setbacks at Hinkley Point C documented by industry observers, and the total estimated cost now standing at around £22 billion. However, the successful installation of the first reactor is a step toward overcoming these hurdles and completing the project on schedule.

Looking ahead, Hinkley Point C’s successful operation could pave the way for future nuclear developments in the UK, including next-gen nuclear designs that aim to be smaller, cheaper, and safer. As the world grapples with the pressing need to reduce greenhouse gas emissions, nuclear energy may play an even more critical role in ensuring a clean, reliable energy future.

The installation of the first reactor at Hinkley Point C marks a crucial moment in the UK’s energy journey. As the country seeks to meet its carbon reduction targets and bolster its energy security, the new nuclear power station will be a cornerstone of its efforts. With its advanced technology, safety features, and potential to provide low-carbon energy for decades to come, Hinkley Point C offers a glimpse into the future of energy production in the UK and beyond.

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India Thermal Power Coal Imports surged 17.6% as CEA-monitored plants offset weaker CIL and SCCL supplies, driven by Saubhagya-led electricity demand, regional power deficits, and varied consumption across Uttar Pradesh, Bihar, Maharashtra, and Gujarat.

Key Points

Fuel volumes imported for Indian thermal plants, tracked by CEA, reflecting shifts in CIL/SCCL supply, demand, and regional power deficits.

✅ Imports up 17.6% as domestic CIL/SCCL deliveries lag targets

✅ Saubhagya-driven demand lifts generation in key beneficiary states

✅ Industrial slowdowns cut usage in Maharashtra, Tamil Nadu, Gujarat

The receipt of imported coal by thermal power plants, where plant load factors have risen, has shot up by 17.6 per cent during April-October. The coal import volumes refer to the power plants monitored by the Central Electricity Authority (CEA), and come amid moves to ration coal supplies as electricity demand surges, a power update report from CARE Ratings showed.

Imports escalated as domestic supplies by Coal India Ltd (CIL) and another state run producer- Singareni Collieries Company Ltd (SCCL) dipped in the period, after earlier shortages that have since eased in later months. Rate of supplies by the two coal companies to the CEA monitored power stations stood at 80.4 per cent, indicating a shortfall of 19.6 per cent against the allocated quantity.

According to the study by CARE Ratings, total coal supplied by CIL and SCCL to the power sector stood at 315.9 million tonnes (mt) during April-October as against 328.5 mt in the comparable period of last fiscal year.

The study noted that growth in power generation during the April-October 2019, with India now the third-largest electricity producer globally, was on account of higher demand from Pradhan Mantri Sahaj Bijli Har Ghar Yojana or Saubhagya Scheme beneficiary states. Providing connection to households in order to achieve 100% per cent electrification has in part helped the sector avert de-growth, as part of efforts to rewire Indian electricity and expand access.

Large states namely Uttar Pradesh, Bihar, Punjab, West Bengal and Rajasthan have recorded over five per cent growth in consumption of power. These states along with Odisha, Madhya Pradesh and Assam accounted for 75 per cent of the beneficiaries under the Saubhagya Scheme (Household Electrification Scheme). The ongoing economic downturn has led to a sharp fall in electricity demand from industrialised states. Maharashtra, which is also the largest power consuming state in India, recorded a decline in consumption of 5.6 per cent.

Other states namely Tamil Nadu, Telangana, Gujarat and Odisha too recorded fall in power consumed, echoing global dips in daily electricity demand seen later during the pandemic. These states house large clusters of mining, automobile, cement and other manufacturing industries, and a decline in these sectors led to fall in demand for power across these states. - The demand-supply gap or power deficit has remained at 0.6 per cent during the April-October 2019. North-East reported 4.8 per cent of power deficit followed by Northern Region at 1.3 per cent. Within Northern Region, Jammu & Kashmir and Uttar Pradesh accounted for 65 per cent and 30 per cent respectively of the regions power supply deficit.

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New Zealand Energy Transition will electrify transport and industry with renewables, grid-scale solar, wind farms, geothermal, batteries, demand response, pumped hydro, and transmission upgrades to manage dry-year risk and winter peak loads.

Key Points

A shift to renewables and smart demand to decarbonise transport and industry while ensuring reliable, affordable power.

✅ Electrifies transport and industrial heat with renewables

✅ Uses demand response, batteries, and pumped hydro for resilience

✅ Targets 99%+ renewable supply, managing dry-year and peak loads

As fossil fuels are phased out over the coming decades, the Climate Change Commission (CCC) suggests electricity will take up much of the slack, aligning with the vision of a sustainable electric planet powering our vehicle fleet and replacing coal and gas in industrial processes.

But can the electricity system really provide for this increased load where and when it is needed? The answer is “yes”, with some caveats.

Our research examines climate change impacts on the New Zealand energy system. It shows we’ll need to pay close attention to demand as well as supply. And we’ll have to factor in the impacts of climate change when we plan for growth in the energy sector.

Demand for electricity to grow
While electricity use has not increased in NZ in the past decade, many agencies project steeply rising demand in coming years. This is partly due to both increasing population and gross domestic product, but mostly due to the anticipated electrification of transport and industry, which could result in a doubling of demand by mid-century.

It’s hard to get a sense of the scale of the new generation required, but if wind was the sole technology employed to meet demand by 2050, between 10 and 60 new wind farms would be needed nationwide.

Of course, we won’t only build wind farms, as renewables are coming on strong and grid-scale solar, rooftop solar, new geothermal, some new small hydro plant and possibly tidal and wave power will all have a part to play.

Managing the demand
As well as providing more electricity supply, demand management and batteries will also be important. Our modelling shows peak demand (which usually occurs when everyone turns on their heaters and ovens at 6pm in winter) could be up to 40% higher by 2050 than it is now.

But meeting this daily period of high demand could see expensive plant sitting idle for much of the time (with the last 25% of generation capacity only used about 10% of the time).

This is particularly a problem in a renewable electricity system when the hydro lakes are dry, as hydro is one of the few renewable electricity sources that can be stored during the day (as water behind the dam) and used over the evening peak (by generating with that stored water).

Demand response will therefore be needed. For example, this might involve an industrial plant turning off when there is too much load on the electricity grid.

But by 2050, a significant number of households will also need smart appliances and meters that automatically use cheaper electricity at non-peak times. For example, washing machines and electric car chargers could run automatically at 2am, rather than 6pm when demand is high.

Our modelling shows a well set up demand response system could mitigate dry-year risk (when hydro lakes are low on water) in coming decades, where currently gas and coal generation is often used.

Instead of (or as well as) having demand response and battery systems to combat dry-year risk, a pumped storage system could be built. This is where water is pumped uphill when hydro lake inflows are plentiful, and used to generate electricity during dry periods.

The NZ Battery project is currently considering the potential for this in New Zealand, and debates such as whether we would use Site C's electricity offer relevant lessons.

Almost (but not quite) 100% renewable
Dry-year risk would be greatly reduced and there would be “greater greenhouse gas emissions savings” if the Interim Climate Change Committee’s (ICCC) 2019 recommendation to aim for 99% renewable electricity was adopted, rather than aiming for 100%.

A small amount of gas-peaking plant would therefore be retained. The ICCC said going from 99% to 100% renewable electricity by overbuilding would only avoid a very small amount of carbon emissions, at a very high cost.

Our modelling supports this view. The CCC’s draft advice on the issue also makes the point that, although 100% renewable electricity is the “desired end point”, timing is important to enable a smooth transition.

Despite these views, Energy Minister Megan Woods has said the government will be keeping the target of a 100% renewable electricity sector by 2030.

Impacts of climate change
In future, the electricity system will have to respond to changing climate patterns as well, becoming resilient to climate risks over time.

The National Institute of Water and Atmospheric Research predicts winds will increase in the South Island and decrease in the far north in coming decades.

Inflows to the biggest hydro lakes will get wetter (more rain in their headwaters), and their seasonality will change due to changes in the amount of snow in these catchments.

Our modelling shows the electricity system can adapt to those changing conditions. One good news story (unless you’re a skier) is that warmer temperatures will mean less snow storage at lower elevations, and therefore higher lake inflows in the big hydro catchments in winter, leading to a better match between times of high electricity demand and higher inflows.

The price is right
The modelling also shows the cost of generating electricity is not likely to increase, because the price of building new sources of renewable energy continues to fall globally.

Because the cost of building new renewables is now cheaper than non-renewables (such as coal-fired plants), investing in carbon-free electricity is increasingly compelling, and renewables are more likely to be built to meet new demand in the near term.

While New Zealand’s electricity system can enable the rapid decarbonisation of (at least) our transport and industrial heat sectors, international efforts like cleaning up Canada's electricity underline the need for certainty so the electricity industry can start building to meet demand everywhere.

Bipartisan cooperation at government level will be important to encourage significant investment in generation and transmission projects with long lead times and life expectancies, as analyses of climate policy and grid implications underscore in comparable markets.

Infrastructure and markets are needed to support demand response uptake, as well as certainty around the Tiwai exit in 2024 and whether pumped storage is likely to be built.

Our electricity system can support the rapid decarbonisation needed if New Zealand is to do its fair share globally to tackle climate change.

But sound planning, firm decisions and a supportive and relatively stable regulatory framework are all required before shovels can hit the ground.

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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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