BGE unveils ambitious smart grid initiative

UK Coal-Free Electricity Record highlights rapid growth in renewables as National Grid phases out coal; wind, solar, and offshore projects surge, green tariffs expand, and energy comparison helps consumers switch to cheaper, cleaner deals.

Key Points

Britain's longest coal-free run, enabled by renewables, lower demand, and grid shifts for cheaper, greener tariffs.

✅ Record set after two months without coal-fired generation

✅ Renewables outpace fossil fuels; wind and solar dominate

✅ Green tariffs expand; prices at three-year lows

On Wednesday 10 June, Britain hit a significant landmark: the UK went for two full months without burning coal to generate power – that's the longest period since the 1880s, following earlier milestones such as a full week without coal power in the recent past.

According to the National Grid, Britain has now run its electricity network without burning coal since midnight on the 9 April. This coal-free period has beaten the country’s previous record of 18 days, six hours and 10 minutes, which was set in June 2019, even though low-carbon generation stalled in 2019 according to analyses.

With such a shift in Britain’s drive for renewables and lower electricity demand following the coronavirus lockdown, as Britain recorded its cleanest electricity during lockdown to date, now may be the perfect time to do an online energy comparison and switch to a cheaper, greener deal.

Only a decade ago, around 40 per cent of Britain’s electricity came from coal generation, but since then the country has gradually shifted towards renewable energy, with the coal share at record lows in the system today. When Britain was forced into lockdown in response to the coronavirus pandemic, electricity demand dropped sharply, and the National Grid took the four remaining coal-fired plants off the network.

Over the past 10 years, Britain has invested heavily in renewable energy. Back in 2010, only 3 per cent of the country's electricity came from wind and solar, and many people remained sceptical. However, now, the UK has the biggest offshore wind industry in the world. Plus, last year, construction of the world’s single largest wind farm was completed off the coast of Yorkshire.

At the same time, Drax – Britain’s biggest power plant – has started to switch from burning coal to burning compressed wooden pellets instead, reflecting the UK's progress as it keeps breaking its coal-free energy record again across the grid. By this time next year, the plant hopes to have phased out coal entirely.

So far this year, renewables have generated more power than all fossil fuels put together, the BBC reports, and the energy dashboard shows the current mix in real time. Renewables have been responsible for 37 per cent of electricity supplied to the network, with wind and solar surpassing nuclear for the first time, while fossil fuels have accounted for 35 per cent. During the same period, nuclear accounted for 18 per cent and imports made up the remaining 10 per cent.

What does this mean for consumers?

As the country’s electricity supply moves more towards renewables, customers have more choice than ever before. Most of the ‘Big Six’ energy companies now have tariffs that offer 100 per cent green electricity. On top of this, specialist green energy suppliers such as Bulb, Octopus and Green Energy UK make it easier than ever to find a green energy tariff.

The good news is that our energy comparison research suggests that green energy doesn’t have to cost you more than a traditional fixed-price energy contract would. In fact, some of the cheapest energy suppliers are actually green companies.

At present, energy bills are at three-year lows, which means that now is the perfect time to switch supplier. As prices remain low and renewables begin to dominate the marketplace, more switchers will be drawn to green energy deals than ever before.

However, if you’re interested in choosing a green energy supplier, make sure that you look at the company's fuel mix. This way, you’ll be able to see whether they are guaranteeing the usage of green energy, or whether they’re just offsetting your usage. All suppliers must report how their energy is generated to Ofgem, so you’ll easily be able to compare providers.

You may find that you pay more for a supplier that generates its own energy from renewables, or pay less if the supplier simply matches your usage by buying green energy. You can decide which option is right for you after comparing the prices.

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Arc One Electric Speedboat delivers zero-emission performance, quiet operation, and reduced maintenance, leveraging battery propulsion, aerospace engineering, and venture-backed innovation to cut noise pollution, fuel costs, and water contamination in high-performance marine recreation.

Key Points

Arc One Electric Speedboat is a battery-powered, zero-emission craft offering quiet, high-performance marine cruising.

✅ 475 hp, 24 ft hull, about 40 mph top speed

✅ Cuts noise, fumes, and water contamination vs gas boats

✅ Backed by Andreessen Horowitz; ex-SpaceX engineers

A team of former SpaceX rocket engineers have joined the race to build the first commercial electric speedboat.

The Arc Boat company announced it had raised $4.25m (£3m) in seed funding to start work on a 24ft 475-horsepower craft that will cost about $300,000.

The LA-based company, which is backed by venture capital firm Andreessen Horowitz (an early backer of Facebook and Airbnb), said the first model of the Arc One boat would be available for sale by the end of the year.

Mitch Lee, Arc’s chief executive, said he wanted to build electric boats because of the impact conventional petrol- or diesel-powered boats have on the environment.

“They not only get just two miles to the gallon, they also pump a lot of those fumes into the water,” Lee said. “In addition, there is the huge noise pollution factor [of conventional boats] and that is awful for the marine life. With gas-powered boats it’s not just carbon emissions into the air, it’s also polluting the water and causing noise pollution. Electric boats, like electric ships clearing the air on the B.C. coast, eliminate all that.”

Lee said electric vessels would also reduce the hassle of boat ownership. “I love being out on the water, being on a boat is so much fun, but owning a boat is so awful,” he said. “I have always believed that electric boats make sense. They will be quicker, quieter and way cheaper and easier to operate and maintain, with access options like an electric boat club in Seattle lowering barriers for newcomers.”

While the first models will be very expensive, Lee said the cost was mostly in developing the technology and cheaper versions would be available in the future, mirroring advances in electric aviation seen across the industry. “It is very much the Tesla approach – we are starting up market and using that income to finance research and development and work our way down market,” he said.

Lee said the technology could be applied to larger craft, and even ferries could run on electricity in the future, as projects for battery-electric high-speed ferries begin to scale.

“We started in February with no team, no money and no warehouse,” he said. “By December we are going to be selling the Arc One, and we are hiring aggressively because we want to accelerate the adoption of electric boats across a whole range of craft, including an electric-ready ferry on Kootenay Lake.”

Lee founded the company with fellow mechanical engineer Ryan Cook. Cook, the company’s chief technology officer, was previously the lead mechanical engineer at Elon Musk’s space exploration company SpaceX where he worked on the Falcon 9 rocket, the world’s first orbital class reusable rocket. In parallel, Harbour Air's electric aircraft highlights cross-sector electrification. Apart from Lee, all of Arc’s employees have some experience working at SpaceX.

The Arc boat, which would have a top speed of 40 mph, joins a number of startups rushing to make the first large-scale production of electric-powered speedboats, while a Vancouver seaplane airline demonstrates complementary progress with a prototype electric aircraft. The Monaco Yacht Club this month held a competition for electric boat prototypes to “instigate a new vision and promote all positive approaches to bring yachting into line” with global carbon dioxide emission reduction targets. Sweden’s Candela C-7 hydrofoil boat was crowned the fastest electric vessel.

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ERCOT Texas Fall Grid Forecast outlines ample power supply, planned maintenance outages, and grid reliability, citing PUC oversight and Gov. Abbott's remarks, with seasonal assessment noting mild demand yet climate risks and conservation alerts.

Key Points

ERCOT's seasonal outlook for Texas on fall power supply, outages, and reliability expectations under PUC oversight.

✅ Projects sufficient supply in October and November

✅ Many plants scheduled offline for maintenance

✅ Notes PUC oversight and Abbott's confidence

Gov. Greg Abbott said Tuesday that the Texas power grid is prepared for the fall months and referenced a new seasonal forecast by the state’s grid operator, which typically does not draw much attention to its fall and spring grid assessments because of the more mild temperatures during those seasons.

Tuesday’s new forecast by the Electric Reliability Council of Texas showed that there should be plenty of power supply to meet demand in October and November. It also showed that many Texas power plants are scheduled to be offline this fall for maintenance work. Texas power plants usually plan to go down in the fall and spring for repairs to improve reliability ahead of the more extreme temperatures in winter and summer, when Texans crank up their heat and air conditioning and raise demand for power.

ERCOT for at least a decade announced its seasonal forecasts, but did not do so on Tuesday. The grid operator stopped announcing the reports after the 2021 winter storm event. A spokesperson for the grid operator, which posted the report to its website midday without notifying the public or power industry stakeholders, said there were no plans to discuss the latest forecast and referred questions about it to the Public Utility Commission, which oversees ERCOT. Abbott appoints the board of the PUC.

Abbott on Tuesday expressed his confidence about the grid in a news release, which included photos of the governor sitting at a table with incoming ERCOT CEO Pablo Vegas, outgoing interim CEO Brad Jones and Public Utility Commission Chair Peter Lake.

“The State of Texas continues to monitor the reliability of our electric grid, and I thank ERCOT and PUC for their hard work to implement bipartisan reforms we passed last year and for their proactive leadership to ensure our grid is stronger than ever before,” Abbott said in the release.

Abbott has not previously shared or called attention to ERCOT’s forecasts as he did on Tuesday.

Up for reelection this fall, Abbott has faced continued criticism, including from the Sierra Club over his handling of the 2021 deadly power grid disaster, when extended freezing temperatures shut down natural gas facilities and power plants, which rely on each other to keep electricity flowing. The resulting blackouts left millions of Texans without power for days in the cold, and hundreds of people died.

ERCOT’s forecasts for fall and spring are typically the least worrisome seasonal forecasts, energy experts said, because temperatures are usually milder in between summer and winter, even as ERCOT has issued an RFP to procure winter capacity to address shortages, so demand for power usually does not skyrocket like it does during extreme temperatures.

But they’ve warned that climate change could potentially lead to more extreme temperatures during times when Texas hasn’t experienced such weather in the past. For example, in early May six power plants unexpectedly broke down when a spring heat wave drove power demand up and highlighted broader heat-related blackout risks across the grid. ERCOT asked Texans to conserve electricity at home at the time.

Abbott released the seasonal report at a time when he has asserted unprecedented control over ERCOT. Although he had no formal role in ERCOT’s search for a new permanent CEO, he put a stranglehold on the process, The Texas Tribune previously reported. Since the winter storm, Abbott’s office has also dictated what information about the power grid ERCOT has released to the public.

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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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Pickering Nuclear False Alert Investigation probes Ontario's emergency alert system after a provincewide cellphone, radio, and TV warning, assessing human error, Pelmorex safeguards, Emergency Management Ontario oversight, and communication delays.

Key Points

An Ontario probe into the erroneous Pickering nuclear alert, focusing on human error, system safeguards, and oversight.

✅ Human error during routine testing suspected

✅ Pelmorex safeguards and EMO protocols under review

✅ Two-hour all-clear delay prompts communication fixes

An investigation into a mistaken Pickering alert warning of an incident at the Pickering Nuclear Generating Station will be completed fairly quickly, Ontario's solicitor general said.

Sylvia Jones tapped the chief of Emergency Management Ontario to investigate how the alert warning of an unspecified problem at the facility was sent in error to cellphones, radios and TVs across the province at about 7:30 a.m. Sunday.

"It's very important for me, for the people of Ontario, to know exactly what happened on Sunday morning," said Jones. "Having said that, I do not anticipate this is going to be a long, drawn-out investigation. I want to know what happened and equally important, I want some recommendations on insurances and changes we can make to the system to make sure it doesn't happen again."

Initial observations suggest human error was responsible for the alert that was sent out during routine tests of the emergency alert, Jones said.

"This has never happened in the history of the tests that they do every day, twice a day, but I do want to know exactly all of the issues related to it, whether it was one human error or whether it was a series of things."

Martin Belanger, the director of public alerting for Pelmorex, a company that operates the alert system, said there are a number of safeguards built in, including having two separate platforms for training and live alerts.

"The software has some steps and some features built in to minimize that risk and to make sure that users will be able to know whether or not they're sending an alert through the...training platform or whether they're accessing the live system in the case of a real emergency," he said.

Only authorized users have access to the system and the province manages that, Belanger said. Once in the live system, features make the user aware of which platform they are using, with various prompts and messages requiring the user's confirmation. There is a final step that also requires the user to confirm their intent of issuing an alert to cellphones, radio and TVs, Belanger said.

On Sunday, a follow-up alert was sent to cellphones nearly two hours after the original notification, and similar grid alerts in Alberta underscore timing and public expectations.

NDP energy critic Peter Tabuns is critical of that delay, noting that ongoing utility scam warnings can further erode public trust.

"That's a long time for people to be waiting to find out what's really going on," he said. "If people lose confidence in this system, the ability to use it when there is a real emergency will be impaired. That's dangerous."

Treasury Board President Peter Bethlenfalvy, who represents the riding of Pickering-Uxbridge, said getting that alert Sunday morning was "a shock to the system," and he too wants the investigation to address the reason for the all-clear delay.

"We all have a lot of questions," he said. "I think the public has every right to know exactly what went on and we feel exactly the same way."

People in the community know the facility is safe, Bethlenfalvy said.

"We have some of the safest nuclear assets in the world -- the safest -- at 60 per cent of Ontario's electricity," he said.

A poll released Monday found that 82 per cent of Canadians are concerned about spills from nuclear reactors contaminating drinking water and 77 per cent are concerned about neighbourhood safety and security risks for those living close to nuclear plants. Oraclepoll Research surveyed 2,094 people across the country on behalf of Friends of the Earth between Jan. 2 and 12, the day of the false alert. The have a margin of error of plus or minus 2.1 per cent, 19 times out of 20.

The wording of Sunday's alert caused much initial confusion, and events like a power outage in London show how morning disruptions can amplify concern, warning residents within 10 kilometres of the plant of "an incident," though there was no "abnormal" release of radioactivity and residents didn't need to take protective steps, but emergency crews were responding.

In the event of a real emergency, the wording would be different, Jones said.

"There are a number of different alerts that are already prepared and are ready to go," she said. "We have the ability to localize it to the communities that are impacted, but because this was a test, it went provincewide."

Jones said she expects the results of the probe to be made public.

The Pickering nuclear plant has been operating since 1971, and had been scheduled to be decommissioned this year, but the former Liberal government -- and the current Progressive Conservative government -- committed to keeping it open until 2024. Decommissioning is now set to start in 2028.

It operates six CANDU reactors, generates 14 per cent of Ontario's electricity and is responsible for 4,500 jobs across the region, according to OPG, and OPG's credit rating remains stable.

During the COVID-19 pandemic, Hydro One employees supported the Province of Ontario in the fight against COVID-19.

The Green party is calling on the province to use this opportunity to review its nuclear emergency response plan, including pandemic staffing contingencies, last updated in 2017 and subject to review every five years.

Toronto Mayor John Tory praised Ontario for swiftly launching an investigation, but said communication between city and provincial officials wasn't what it should have been under the circumstances.

"It was a poor showing and I think everybody involved knows that," he said. "We've got to make sure it's not repeated."

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Scotland Wind Energy October saw renewables supply the equivalent of 98 percent of electricity demand, as onshore wind outpaced National Grid needs, cutting emissions and powering households, per WWF Scotland and WeatherEnergy.

Key Points

A monthly update showing Scottish onshore wind met the equivalent of 98% of electricity demand in October.

✅ 98% of monthly electricity demand equivalent met by wind

✅ 16 days exceeded total national demand, per data

✅ WWF Scotland and WeatherEnergy cited; lower emissions

New figures publicized by WWF Scotland have revealed that wind energy generated the equivalent of 98% of the country’s electricity demand in October, or enough electricity to power millions of Scottish homes across the country.

Scotland has regularly been highlighted as a global wind energy leader, and over the last few years has repeatedly reported record-breaking months for wind generation. Now, it’s all very well and good to say that Scottish wind delivered 98% of the country’s electricity demand, but the specifics are a little different — hence why WWF Scotland always refers to it as wind providing “the equivalent of 98%” of Scotland’s electricity demand. That’s why it’s worth looking at the statistics provided by WWF Scotland, sourced from WeatherEnergy, part of the European EnergizAIR project:

• National Grid demand for the month – 1,850,512 MWh
• What % of this could have been provided by wind power across Scotland – 98%
• Best day – 23rd October 2018, generation was 105,900.94 MWh, powering 8.72m homes, 356% of households. Demand that day was 45,274.5MWh – wind generation was 234% of that.
• Worst day – 18th October 2018 when generation was 18,377.71MWh powering 1,512,568 homes, 62% of households. Demand that day was 73,628.5MWh – wind generation was 25%
• How many days generation was over 100% of households – 27
• How many days generation was over 100% of demand – 16

“What a month October proved to be, with wind powering on average 98 per cent of Scotland’s entire electricity demand for the month, at a time when wind became the UK’s main power source and exceeding our total demand for a staggering 16 out of 31 days,” said Dr Sam Gardner, acting director at WWF Scotland.

“These figures clearly show wind is working, it’s helping reduce our emissions and is the lowest cost form of new power generation. It’s also popular, with a recent survey also showing more and more people support turbines in rural areas. That’s why it’s essential that the UK Government unlocks market access for onshore wind at a time when we need to be scaling up electrification of heat and transport.”

Alex Wilcox Brooke, Weather Energy Project Manager at Severn Wye Energy Agency, added: “Octobers figures are a prime example of how reliable & consistent wind production can be, with production on 16 days outstripping national demand.”

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