Green firms see red over rule changes

Nova Scotia Power Active Demand Control Tariff lets the utility direct Port Hawkesbury Paper load, enabling demand response, efficiency, and industrial electricity rates, while regulators assess impacts on ratepayers, grid reliability, mill viability, and savings.

Key Points

A four-year tariff letting the utility control the mill load for demand response, efficiency, and lower costs.

✅ Utility can increase or reduce daily consumption at the mill

✅ Projected savings of $10M annually for other ratepayers to 2023

✅ Regulators reviewing cost allocation, monitoring, and viability

Nova Scotia Power is scheduled to appear before government regulators Tuesday morning seeking approval for a unique discount rate for its largest customer.

Under the four-year plan, Nova Scotia Power would control the supply of electricity to Port Hawkesbury Paper, a move referenced in a grid operations report that urges changes, with the right to direct the company to increase or reduce daily consumption throughout the year.

The rate proposal is supported by the mill, which says it needs to lower its power bill to keep its operation viable.

The rate went into effect on Jan. 1 on a temporary basis, pending the outcome of a hearing this week before the Nova Scotia Utility and Review Board, amid broader calls for an independent body to lead electricity planning.

The mill accounts for 10 per cent of the provincial electricity load, even as a neighbouring utility pursues more Quebec power for the region, producing glossy paper used in magazines and catalogs.

Nova Scotia Power says controlling how much electricity the mill uses — and when — will allow it to operate the system much more efficiently, as it expands biomass generation initiatives, saving other customers $10 million a year until the rate expires in 2023.

Ceding control 'not an easy decision'
In its opening statement that was filed in advance, Port Hawkesbury Paper said ceding the control of its electrical supply to Nova Scotia Power was "not an easy decision" to make, but the company is confident the arrangement will work.

In September 2019, Nova Scotia Power and the mill jointly applied for an "extra large active demand control tariff," which would provide electricity to the mill for about $61 per megawatt hour, well below the full cost of generating the electricity.

The utility said "fully allocating costs" would result in "prices in excess of $80/MWh ... and [would] not [be] financially viable for the mill."

In its statement, Port Hawkesbury Paper said since the initial filing "there have been greater near term declines in market demand and pricing for PHP's product than was forecast at that time, continuing to put pressure on our business and further highlighting the need to maintain the balance provided for in the new tariff."

Consumer advocate sees 'advantage,' but will challenge
Bill Mahody represents Nova Scotia Power's 400,000 residential customers before the review board. He wants proof the mill will pay enough toward the cost of generating the electricity it uses, amid concerns over biomass use in the province today.

"We filed evidence, as have others involved in the proceeding, that would call into question whether or not the rate design is capturing all of those costs and that will be a significant issue before the board," Mahody said.

Still, he sees value in the proposal.

The proposed new rate went into effect on Jan. 1 on a temporary basis. (The Canadian Press)
"This proposed rate gives Nova Scotia Power the ability to control that sizable Port Hawkesbury Paper load to the advantage of other ratepayers, as the province pursues more wind and solar projects, because Nova Scotia Power would be reducing the costs that other ratepayers are going to face," he said.

Mahody is also calling for a mechanism to monitor whether the mill's position actually improves to the point where it could pay higher rates.

"An awful lot can change during a four-year period, with new tidal power projects underway, and I think the board ought to have the ability to check in on this and make sure that their preferential rate continues to be justified," he said.

Major employer
Port Hawkesbury Paper, owned by Stern Partners in Vancouver, has received discounted power rates since it bought the idled mill in 2012. But the "load retention tariff" as it was called, expired at the end of 2019.

Regulators have accepted Nova Scotia Power's argument that it would cost other customers more if the mill ceased to operate.

The mill said it spends between $235 million and $265 million annually, employing 330 people directly and supporting 500 other jobs indirectly.

The Nova Scotia government pledged $124 million in financial assistance as part of the reopening in 2012.

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OEB Disconnection Ban shields Ontario residential customers under the stay-at-home order, pausing electricity distributor shutoffs for non-payment and linking COVID-19 Energy Assistance Program credits for small businesses, charities, and overdue utility bills.

Key Points

A pause on electricity shutoff notices during Ontario's stay-at-home order, with COVID-19 bill credits for customers.

✅ Distributors cannot issue residential disconnection notices.

✅ Applies through the stay-at-home order timeline.

✅ CEAP credits: $750 residential; $1,500 small biz and charities.

With Ontario now into the third province-wide lockdown, the Ontario Energy Board (OEB) has promised residents won't have to worry about their power being shut off.

On April 8, the Province issued the third stay-at-home order in the last 13 months which is scheduled to last for 28 days until at least May 6, as electricity rates and policies continue to shift.

On April 30, the annual winter disconnection ban is set to expire, meaning electricity distributors like Hydro One would normally be permitted to issue disconnection notices for non-payment as early as 14 days before the end of the ban.

However, the OEB has announced changes for electricity consumers that prohibit electricity distributors from issuing disconnection notices to residential customers for the entirety of the stay-at-home order.

Additionally, the COVID-19 Energy Assistance Program is available for residential, small business, and registered charity customers who have overdue amounts on their electricity or gas bills as a result of the pandemic, complementing support for electric bills introduced during COVID-19, and the fixed COVID-19 hydro rate that helped stabilize costs.

Those who meet these criteria are eligible for credits up to a maximum of $750 for residential customers and $1,500 for small businesses and charities, alongside earlier moves to set an off-peak price to ease costs.

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Wind and Solar Surpass Coal in U.S. power generation, as EIA data cites falling LCOE, clean energy incentives, grid upgrades, and battery storage driving renewables growth, lower emissions, jobs, and less fossil fuel reliance.

Key Points

An EIA-noted milestone where U.S. renewables outproduce coal, driven by lower LCOE, policy credits, and grid upgrades.

✅ EIA data shows wind and solar exceed coal generation

✅ Falling LCOE boosts project viability across the grid

✅ Policies and storage advances strengthen reliability

In a landmark shift for the energy sector, wind and solar power have recently surpassed coal in electricity generation in the United States. This milestone, reported by Warp News, marks a significant turning point in the country’s energy landscape and underscores the growing dominance of renewable energy sources.

A Landmark Achievement

The achievement of wind and solar energy generating more electricity than coal is a landmark moment in the U.S. energy sector. Historically, coal has been a cornerstone of electricity production, providing a substantial portion of the nation's power needs. However, recent data reveals a transformative shift, with renewables surpassing coal for the first time in 130 years, as renewable energy sources, particularly wind and solar, have begun to outpace coal in terms of electricity generation.

The U.S. Energy Information Administration (EIA) reported that in recent months, wind and solar combined produced more electricity than coal, including a record 28% share in April, reflecting a broader trend towards cleaner energy sources. This development is driven by several factors, including advancements in renewable technology, decreasing costs, and a growing commitment to reducing greenhouse gas emissions.

Technological Advancements and Cost Reductions

One of the key drivers behind this shift is the rapid advancement in wind and solar technologies, as wind power surges in the U.S. electricity mix across regions. Improvements in turbine and panel efficiency have significantly increased the amount of electricity that can be generated from these sources. Additionally, technological innovations have led to lower production costs, making wind and solar energy more competitive with traditional fossil fuels.

The cost of solar panels and wind turbines has decreased dramatically over the past decade, making renewable energy projects more economically viable. According to Warp News, the levelized cost of electricity (LCOE) from solar and wind has fallen to levels that are now comparable to or lower than coal-fired power. This trend has been pivotal in accelerating the transition to renewable energy sources.

Policy Support and Investment

Government policies and incentives have also played a crucial role in supporting the growth of wind and solar energy, with wind now the most-used renewable electricity source in the U.S. helping drive deployment. Federal and state-level initiatives, such as tax credits, subsidies, and renewable energy mandates, have encouraged investment in clean energy technologies. These policies have provided the financial and regulatory support necessary for the expansion of renewable energy infrastructure.

The Biden administration’s focus on addressing climate change and promoting clean energy has further bolstered the transition. The Infrastructure Investment and Jobs Act and the Inflation Reduction Act, among other legislative efforts, have allocated significant funding for renewable energy projects, grid modernization, and research into advanced technologies.

Environmental and Economic Implications

The surpassing of coal by wind and solar energy has significant environmental and economic implications, building on the milestone when renewables became the second-most prevalent U.S. electricity source in 2020 and set the stage for further gains. Environmentally, it represents a major step forward in reducing carbon emissions and mitigating climate change. Coal-fired power plants are among the largest sources of greenhouse gases, and transitioning to cleaner energy sources is essential for meeting climate targets and improving air quality.

Economically, the shift towards wind and solar energy is creating new opportunities and industries. The growth of the renewable energy sector is generating jobs in manufacturing, installation, and maintenance. Additionally, the decreased reliance on imported fossil fuels enhances energy security and stabilizes energy prices.

Challenges and Future Outlook

Despite the progress, there are still challenges to address. The intermittency of wind and solar power requires advancements in energy storage and grid management to ensure a reliable electricity supply. Investments in battery storage technologies and smart grid infrastructure are crucial for overcoming these challenges and integrating higher shares of renewable energy into the grid.

Looking ahead, the trend towards renewable energy is expected to continue, with renewables projected to soon provide about one-fourth of U.S. electricity as deployment accelerates, driven by ongoing technological advancements, supportive policies, and a growing commitment to sustainability. As wind and solar power become increasingly cost-competitive and efficient, their role in the U.S. energy mix will likely expand, further displacing coal and other fossil fuels.

Conclusion

The surpassing of coal by wind and solar energy in U.S. electricity generation is a significant milestone in the transition to a cleaner, more sustainable energy future. This achievement highlights the growing importance of renewable energy sources and the success of technological advancements and supportive policies in driving this transition. As the U.S. continues to invest in and develop renewable energy infrastructure, the move away from coal represents a crucial step towards achieving environmental goals and fostering economic growth in the clean energy sector.

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SDG&E Ramona Microgrid delivers renewable energy and battery storage for wildfire mitigation, grid resilience, and PSPS support, powering the Cal Fire Air Attack Base with a 500 kW, 2,000 kWh lithium-ion system during outages.

Key Points

A renewable, battery-backed microgrid powering Ramona's Air Attack Base, boosting wildfire response and PSPS resilience.

✅ 500 kW, 2,000 kWh lithium-ion storage replaces diesel

✅ Keeps Cal Fire and USFS aircraft operations powered

✅ Supports PSPS continuity and rural water reliability

It figures to be another dry year — with the potential to spark wildfires in the region. But San Diego Gas & Electric just completed a renewable energy upgrade to a microgrid in Ramona that will help firefighters and reduce the effects of power shutoffs to backcountry residents.

The microgrid will provide backup power to the Ramona Air Attack Base, helping keep the lights on during outages, home to Cal Fire and the U.S. Forest Service's fleet of aircrafts that can quickly douse fires before they get out of hand.

"It gives us peace of mind to have backup power for a critical facility like the Ramona Air Attack Base, especially given the fact that fire season in California has become year-round," Cal Fire/San Diego County Fire Chief Tony Mecham said in a statement.

The air attack base serves as a hub for fixed-wing aircraft assigned to put out fires. Cal Fire staffs the base throughout the year with one two airtankers and one tactical aircraft. The base also houses the Forest Service's Bell 205 A++ helicopter and crew to protect the Cleveland National Forest. Aircraft for both CalFire and the Forest Service can also be mobilized to help fight fires throughout the state.

This summer, the Ramona microgrid won't have to rely on diesel generation. Instead, the facility next to the town's airport will be powered by a 500 kilowatt and 2,000 kilowatt-hour lithium-ion battery storage system that won't generate any greenhouse gas emissions.

"What's great about it, besides that it's a renewable resource, is that it's a permanent installation," said Jonathan Woldemariam, SDG&E's director of wildfire mitigation and vegetation management. "In other words, we don't have to roll a portable generator out there. It's something that can be leveraged right there because it's already installed and ready to go."

Microgrids have taken on a larger profile across the state because they can operate independently of the larger electric grid, where repairing California's grid is an ongoing challenge, thus allowing small areas or communities to keep the power flowing for hours at a time during emergencies.

That can be crucial in wildfire-prone areas affected by Public Safety Power Shutoffs, or PSPS, the practice in which investor-owned utilities in California de-energize electrical power lines in a defined area when conditions are dry and windy in order to reduce the risk of a power line falling and igniting a wildfire, while power grid upgrades move forward statewide.

Rural and backcountry communities are particularly hard hit when the power is pre-emptively cut off because many homes rely on water from wells powered by electricity for their homes, horses and livestock.

In addition to Ramona, SDG&E has established microgrids in three other areas in High Fire Threat Districts:

The microgrids in Butterfield Ranch and Shelter Valley run on diesel power but the utility plans to complete solar and battery storage systems for each locale by the end of next year, as other regions develop new microgrid rules to guide deployment.

SDG&E has a fifth microgrid in operation — in Borrego Springs, which in 2013 became the first utility-scale microgrid in the country. It provides grid resiliency to the roughly 2,700 residents of the desert town and serves as a model for integrated microgrid projects elsewhere in delivering local electricity. While the Borrego Springs microgrid is not located in a High Fire Threat District, "when and if any power is turned off, especially the power transmission feed that goes to Borrego, we can support the customers using the microgrid out there," Woldemariam said.

Microgrid costs can be higher than conventional energy systems, even as projected energy storage revenue grows over the next decade, and the costs of the SDG&E projects are passed on to ratepayers. As per California Public Utilities Commission rules, the financial details for each of microgrid are kept confidential for at least three years.

SDG&E's microgrids are part of the utility's larger plan to reduce wildfire risk that SDG&E files with the utilities commission. In its wildfire plan for 2020 through 2022, SDG&E expected to spend $1.89 billion on mitigation measures.

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Canadian Industrial IoT Cybersecurity Standards aim to unify device security for utilities, smart grids, SCADA, and OT systems, aligning with NERC CIP, enabling certification, trust marks, compliance testing, and safer energy sector deployments.

Key Points

National standards to secure industrial IoT for utilities and grids, enabling certification and NERC CIP alignment.

✅ Aligns with NERC CIP and NIST frameworks for energy sector security

✅ Defines certification, testing tools, and a trusted device repository

✅ Enhances OT, SCADA, and smart grid resilience against cyber threats

The Canadian energy sector has been buying Internet-connected sensors for monitoring a range of activities in generating plants, distribution networks facing harsh weather risks and home smart meters for several years. However, so far industrial IoT device makers have been creating their own security standards for devices, leaving energy producers and utilities at their mercy.

The industry hopes to change that by creating national cybersecurity standards for industrial IoT devices, with the goal of improving its ability to predict, prevent, respond to and recover from cyber threats, such as emerging ransomware attacks across the grid.

To help, the federal government today announced an $818,000 grant support a CIO Strategy Council project oversee the setting of standards.

In an interview council executive director Keith Jansa said the money will help a three-year effort that will include holding a set of cross-country meetings with industry, government, academics and interest groups to create the standards, tools to be able to test devices against the standards and the development of product repository of IoT safe devices companies can consult before making purchases.

“The challenge is there are a number of these devices that will be coming online over the next few years,” Jansa said. “IoT devices are designed for convenience and not for security, so how do you ensure that a technology an electricity utility secures is in fact safeguarded against cyber threats? Currently, there is no associated trust mark or certification that gives confidence associated with these devices.”

He also said the council will work with the North American Electric Reliability Corporation (NERC), which sets North American-wide utility safety procedural standards and informs efforts on protecting the power grid across jurisdictions. The industrial IoT standards will be product standards.

According to Robert Wong, vice-president and CIO of Toronto Hydro, all the big provincial utilities are subject to adhering to NERC CIP standards which have requirements for both cyber and physical security. Ontario is different from most provinces in that it has local distribution companies — like Toronto Hydro — which buy electricity in bulk and resell it to customers.  These LDCs don’t own or operate critical infrastructure and therefore don’t have to follow the NERC CIP standards.

Regional reforms, such as regulatory changes in Atlantic Canada, aim to bring greener power options to the grid.

Electricity is considered around the world as one of a country’s critical national infrastructure. Threats to the grid can be used for ransom or by a country for political pressure. Ukraine had its power network knocked offline in 2015 and 2016 by what were believed to be Russian-linked attackers operating against utilities.

All the big provincial utilities operate “critical infrastructure” and are subject to adhering to NERC CIP (critical infrastructure protection) standards, which have requirements for both cyber and physical security, as similar compromises at U.S. electric utilities have highlighted recently.  There are audited on a regular basis for compliance and can face hefty fines if they fail to meet the requirements.  The LDCs in Ontario don’t own or operate “critical infrastructure” and therefore are not required to adopt NERC CIP standards (at least for now).

The CIO Strategy Council is a forum for chief information officers that is helping set standards in a number of areas. In January it announced a partnership with the Internet Society’s Canada Chapter to create standards of practice for IoT security for consumer devices. As part of the federal government’s updated national cybersecurity strategy it is also developing a national cybersecurity standard for small and medium-sized businesses. That strategy would allow SMBs to advertise to customers that they meet minimum security requirements.

“The security of Canadians and our critical infrastructure is paramount,” federal minister of natural resources Seamus O’Regan said in a statement with today’s announcement. “Cyber attacks are becoming more common and dangerous. That’s why we are supporting this innovative project to protect the Canadian electricity sector.”

The announcement was welcomed by Robert Wong, Toronto Hydro’s vice-president and CIO. “Any additional investment towards strengthening the safeguards against cyberattacks to Canada’s critical infrastructure is definitely good news.  From the perspective of the electricity sector, the convergence of IT and OT (operational technology) has been happening for some time now as the traditional electricity grid has been transforming into a Smart Grid with the introduction of smart meters, SCADA systems, electronic sensors and monitors, smart relays, intelligent automated switching capabilities, distributed energy resources, and storage technologies (batteries, flywheels, compressed air, etc.).

“In my experience, many OT device and system manufacturers and vendors are still lagging the traditional IT vendors in incorporating Security by Design philosophies and effective security features into their products.  This, in turn, creates greater risks and challenges for utilities to protecting their critical infrastructures and ensuring a reliable supply of electricity to its customers.”

The Ontario Energy Board, which regulates the industry in the province, has led an initiative for all utilities to adopt the National Institute of Standards and Technology (NIST) Cybersecurity Framework, along with the ES-C2M2 maturity and Privacy By Design models, he noted.  Toronto Hydro has been managing its cybersecurity practice in adherence to these standards, as the city addresses growing electricity needs as well, he said.

“Other jurisdictions, such as Israel, have invested heavily on a national level in developing its cybersecurity capabilities and are seen as global leaders.  I am confident that given the availability of talent, capabilities and resources in Canada (especially around the GTA) if we get strong support and leadership at a federal level we can also emerge as a leader in this area as well.”

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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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