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US Electricity Demand Outlook examines EIA forecasts, GDP decoupling, energy efficiency, electrification, electric vehicles, grid load growth, and weather variability to frame long term demand trends and utility planning scenarios.

Key Points

An analysis of EIA projections showing demand decoupling from GDP, with EV adoption and efficiency shaping future grid load.

✅ EIA lowers load growth; demand decouples from GDP.

✅ Efficiency and sector shifts depress kWh sales.

✅ EV adoption could revive load and capacity needs.

Electricity producers and distributors are in an unusual business. The product they provide is available to all customers instantaneously, literally at the flip of a switch. But the large amount of equipment, both hardware and software to do this takes years to design, site and install.

From a long range planning perspective, just as important as a good engineering design is an accurate sales projections. For the US electric utility industry the most authoritative electricity demand projec-tions come from the Department of Energy’s Energy Information Administration (EIA). EIA's compre-hensive reports combine econometric analysis with judgment calls on social and economic trends like the adoption rate of new technologies that could affect future electricity demand, things like LED light-ing and battery powered cars, and the rise of renewables overtaking coal in generation.

Before the Great Recession almost a decade ago, the EIA projected annual growth in US electricity production at roughly 1.5 percent per year. After the Great Recession began, the EIA lowered its projections of US electricity consumption growth to below 1 percent. Actual growth has been closer to zero. While the EIA did not antici-pate the last recession or its aftermath, we cannot fault them on that.

After the event, though, the EIA also trimmed its estimates of economic growth. For the 2015-2030 period it now predicts 2.1 percent economic and 0.3 percent electricity growth, down from previously projections of 2.7 percent and 1.3 percent respectively. (See Figures 1 and 2.)

Table 1. EIA electric generation projections by year of forecast (kWh billions)

Table 2. EIA forecast of GDP by year of forecast (billion 2009 $)

Back in 2007, the EIA figured that every one percent increase in economic activity required a 0.48 percent in-crease in electric generation to support it. By 2017, the EIA calculated that a 1 percent growth in economic activity now only required a 0.14 percent increase in electric output. What accounts for such a downgrade or disconnect between electricity usage and economic growth? And what factors might turn the numbers 
around?

First, the US economy lost energy intensive heavy industry like smelting, steel mills and refineries; patterns in China's electricity sector highlight how industrial shifts can reshape power demand. A more service oriented economy (think health care) relies more heavily on the movement of data or information and uses far less power than a manufacturing-oriented economy.

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Second, internet shopping has hurt so-called "brick and mortar" retailers. Despite the departure of heavy industry, in years past a burgeoning US commercial sector increased its demand and usage of electricity to offset the industrial decline. But not anymore. Energy efficiency measures as well as per-haps greater concern about global warming and greenhouse gas emissions and have cut into electricity sales. “Do more with less” has the right ring to it.

But there may be other components to the ongoing decline in electricity usage. Academic studies show that electricity usage seems to increase with income along an S curve, and flattens out after a certain income level. That is, if you earn $1 billion per year you do not (or cannot) use ten times a much electricity as someone earning only $100 million.

But people at typical, middle income levels increase or decrease electricity usage when incomes rise or fall. The squeeze on middle income families was discussed often in the late presidential campaign. In recent decades an increasing percentage of income has gone to a small percentage of the population at the top of the income scale. This trend probably accounts for some weakness in residential sales. This suggests that government policy addressing income inequality would also boost electricity sales.

Population growth affects demand for electricity as well as the economy as a whole. The EIA has made few changes in its projections, showing 0.7 percent per year population growth in 2015- 2030 in both the 2007 and 2017 forecasts. Recent studies, however, have shown a drop in the birth rate to record lows. More troubling, from a national health perspective is that the average age of death may have stopped rising. Those two factors point to lower population growth, especially if the government also restricts immi-gration. Thus, the US may be approaching a period of rather modest population growth.

All of the above factors point to minimal sales growth for electricity producers in the US--perhaps even lower than the seemingly conservative EIA estimates. But the cloud on the horizon has a silver lining in the shape of an electric car. Both the United Kingdom and France have set dates to end of production of automobiles with internal combustion engines. Several European car makers have declared that 20 percent of their output will be electric vehicles by the early 2020s. If we adopt automobiles powered by electricity and not gasoline or diesel, electricity sales would increase by one third. For the power indus-try, electric vehicles represent the next big thing.

We don’t pretend to know how electric car sales will progress. But assume vehicle turnover rates re-main at the current 7 percent per year and electric cars account for 5 percent of sales in the first five years (as op-posed to 1 percent now), 20 percent in the next five years and 50 percent in the third five year period. Wildly optimistic assumptions? Maybe. By 2030, electric cars would constitute 28 percent of the vehicle fleet. They would add about 10 percent to kilowatt hour sales by that date, assuming that battery efficiencies do not improved by then. Those added sales would require increased electric generation output, with low-emissions sources expected to cover almost all the growth globally. They would also raise long term growth rates for 2015-2030 from the present 0.3 percent to 1.0 percent. The slow upturn in demand should give the electric companies time to gear up so to speak.

In the meantime, weather will continue to play a big role in electricity consumption. Record heat-induced demand peaks are being set here in the US even as surging global demand puts power systems under strain worldwide.

Can we discern a pattern in weather conditions 15 years out? Maybe we can, but that is one topic we don’t expect a government agency to tackle in public right now. Meantime, weather will affect sales more than anything else and we cannot predict the weather. Or can we?

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Ontario Poised to Miss 2030 Emissions Target highlights how rising greenhouse gas emissions from electricity generation and natural gas power plants threaten Ontario’s climate goals, environmental sustainability, and clean energy transition efforts amid growing economic and policy challenges.

Why is Ontario Poised to Miss 2030 Emissions Target?

Ontario Poised to Miss 2030 Emissions Target examines the province’s setback in meeting climate goals due to higher power-sector emissions and shifting energy policies.

✅ Rising greenhouse gas emissions from gas-fired electricity generation

✅ Climate policy uncertainty and missed environmental targets

✅ Balancing clean energy transition with economic pressures

Ontario’s path toward meeting its 2030 greenhouse gas emissions target has taken a sharp turn for the worse, according to internal government documents obtained by Global News. The province, once on track to surpass its reduction goals, is now projected to miss them—largely due to rising emissions from electricity generation, even as the IEA net-zero electricity report highlights rising demand nationwide.

In October 2024, the Ford government’s internal analysis indicated that Ontario was on track to reduce emissions by 28 percent below 2005 levels by 2030, effectively exceeding its target. But a subsequent update in January 2025 revealed a grim reversal. The new forecast showed an increase of about eight megatonnes (Mt) of emissions compared to the previous model, with most of the rise attributed to the province’s energy policies.

“This forecast is about 8 Mt higher than the October 2024 forecast, mainly due to higher electricity sector emissions that reflect the latest ENERGY/IESO energy planning and assumptions,” the internal document stated.

While the analysis did not specify which policy shifts triggered the change, experts point to Ontario’s growing reliance on natural gas. The use of gas-fired power plants has surged to fill temporary gaps created by nuclear refurbishment projects and other grid constraints, even as renewable energy’s role grows. In fact, natural gas generation in early 2025 reached its highest level since 2012.

The internal report cited “changing electricity generation,” nuclear power refurbishment, and “policy uncertainty” as major risks to achieving the province’s climate goals. But the situation may be even worse than the government’s updated forecast suggests.

On Wednesday, Ontario’s auditor general warned that the January projections were overly optimistic. The watchdog’s new report concluded the province could fall even further behind its 2030 emissions target, noting that reductions had likely been overestimated in several sectors, including transportation—such as electric vehicle sales—and waste management. “An even wider margin” of missed goals was now expected, the auditor said.

Environment Minister Todd McCarthy defended the government’s position, arguing that climate goals must be balanced against economic realities. “We cannot put families’ financial, household budgets at risk by going off in a direction that’s not achievable,” McCarthy said.

The minister declined to commit to new emissions targets beyond 2030—or even to confirm that the existing goals would be met—but insisted efforts were ongoing. “We are continuing to meet our commitment to at least try to meet our commitment for the 2030 target,” he told reporters. “But targets are not outcomes. We believe in achievable outcomes, not unrealistic objectives.”

Environmental advocates warn that Ontario’s reliance on fossil-fuel generation could lock the province into higher emissions for years, undermining national efforts to decarbonize Canada’s electricity grid. With cleaning up Canada’s electricity expected to play a central role in both industrial growth and climate action, the province’s backslide represents a significant setback for Canada’s overall emissions strategy.

Other provinces face similar challenges; for example, B.C. is projected to miss its 2050 targets by a wide margin.

As Ontario weighs its next steps, the tension between energy security, affordability, and environmental responsibility continues to define the province’s path toward a lower-carbon future and Canada’s 2050 net-zero target over the long term.

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Canada Electricity Shortage threatens renewable energy transition as EV adoption and building decarbonization surge; Hydro-Quebec exports, wind power expansion, demand response, and smart grid resilience shape investment and capacity planning.

Key Points

A looming supply gap in central and eastern provinces driven by EVs, heating decarbonization, exports, and limited new hydro.

✅ Hydro-Quebec capacity pressured by exports and new loads

✅ Wind power prioritized; new mega-dams deemed unworkable

✅ Smart meters boost flexibility but raise cyber risk

Quebec and other provinces in central and eastern Canada are heading toward a significant shortage of electricity to respond to the various needs of a transition to renewable energy, and Ontario's energy storage push underscores how supply is tightening across the region.

This is according to Polytechnique Montréal’s Institut de l’énergie Trottier, which published a report titled A Strategic Perspective on Electricity in Central and Eastern Canada last week.

The white paper says that at the current rate, most provinces will be incapable of meeting the electricity needs created by the increase in the number of electric vehicles, including the federal 2035 EV sales mandate that will amplify demand, and the decarbonization of building heating by 2030. “The situation worsens if we consider carbon neutrality objectives of the federal government and some provinces for 2050,” the institute says.

The researchers called on public utilities to immediately review their investment plans for the coming years in light of examples such as B.C.'s power supply challenges that accompany rapid green ambitions.

In a news conference Wednesday, Premier François Legault said the province could indeed be short on electricity as debates over Quebec's EV push continue. “We’re open to exploiting green hydrogen, if the price is good and also based on the electrical capacity we have. Because currently, we predict that in the coming years we’re going to lack electricity, so we must be prudent.”

Quebec is in a better position than other provinces because it is the largest hydroelectricity producer in the country. But that energy source also attracts new clients that have contributed to increased demand over the coming years, including data centres, cryptocurrency miners and greenhouses.

Report co-author Normand Mousseau said that while Hydro-Québec largely has the capacity to meet demand from electric vehicles, even amid EV shortages and wait times for buyers, heating and manufacturers, export contracts to the United States “risk reducing its leeway.”

Hydro-Québec will therefore have to find new sources of electricity, and Mousseau said the answer isn’t new dams.

“The reservoirs give an immense flexibility to the network, but we don’t have the capacity today to flood territories like we have done in the past,” said Mousseau, the institute’s scientific director. “From an environmental viewpoint and a social accessibility one, it’s unworkable.”

The solution would be more wind turbines, he said, adding construction could happen at “very competitive rates” and if there’s a surplus, “we can sell it without issue because other provinces are in an even worse situation than ours,” a reality echoed by eco groups in Northern Ontario sustainability discussions focused on the grid’s future.

The researchers propose solutions based on six themes: regulations, pricing, demand management, data, support for implementation and resilience.

In the resilience category, the report notes that innovative technology like smart meters makes the network more flexible, with pilots such as EV-to-grid integration in Nova Scotia illustrating emerging options, but also increases the risk of cyberattacks. The more extreme weather caused by climate change also increases the risks of damage to infrastructure while at the same time increasing demand.

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AI-Powered Utility Customer Experience enables transparency, real-time pricing, smart thermostats, demand response, and billing optimization, helping utilities integrate distributed energy resources, battery storage, and microgrids while boosting customer satisfaction and reducing costs.

Key Points

An approach where utilities use AI and real-time data to personalize service, optimize billing, and cut energy costs.

✅ Real-time pricing aligns retail and wholesale market signals

✅ Device control via smart thermostats and home energy management

✅ Analytics reveal appliance-level usage and personalized savings

The latest electric utility customer satisfaction survey results from the American Customer Satisfaction Index (ACSI) Energy Utilities report reveal that nearly every investor-owned utility saw customer satisfaction go down from 2018 to 2019. Residential customers are sending a clear message in the report: They want more transparency and control over energy usage, billing and ways to reduce costs.

With both customer satisfaction and utility revenues on the decline, utilities are facing daunting challenges to their traditional business models amid flat electricity demand across many markets today. That said, it is the utilities that see these changing times as an opportunity to evolve that will become the energy leaders of tomorrow, where the customer relationship is no longer defined by sales volume but instead by a utility company's ability to optimize service and deliver meaningful customer solutions.

We have seen how the proliferation of centralized and distributed renewables on the grid has already dramatically changed the cost profile of traditional generation and variability of wholesale energy prices. This signals the real cost drivers in the future will come from optimizing energy service with things like batteries, microgrids and peer-to-peer trading networks. In the foreseeable future, flat electricity rates may be the norm, or electricity might even become entirely free as services become the primary source of utility revenue.

The key to this future is technological innovation that allows utilities to better understand a customer’s unique needs and priorities and then deliver personalized, well-timed solutions that make customers feel valued and appreciated as their utility helps them save and alleviates their greatest pain points.

I predict utilities that adopt new technologies focused on customer experience, aligned with key utility trends shaping the sector, and deliver continual service improvements and optimization will earn the most satisfied, most loyal customers.

To illustrate this, look at how fixed pricing today is applied for most residential customers. Unless you live in one of the states with deregulated utilities where most customers are free to choose a service provider in a competitive marketplace, as consumers in power markets increasingly reshape offerings, fixed-rate tariffs or time-of-use tariffs might be the only rate structures you have ever known, though new utility rate designs are being tested nationwide today. These tariffs are often market distortions, bearing little relation to the real-time price that the utility pays on the wholesale market.

It can be easy enough to compare the rate you pay as a consumer and the market rate that utilities pay. The California ISO has a public dashboard -- as do other grid operators -- that shows the real-time marginal cost of energy. On a recent Friday, for example, a buyer in San Francisco could go to the real-time market and procure electricity at a rate of around 9.5 cents per kilowatt-hour (kWh), yet a residential customer can pay the utility PG&E between 22 cents and 49 cents per kWh amid major changes to electric bills being debated, depending on usage.

The problem is that utility customers do not usually see this data or know how to interpret it in a way that helps add value to their service or drive down the cost.

This is a scenario ripe for innovation. Artificial intelligence (AI) technologies are beginning to be applied to give customers the transparency and control over the energy they desire, and a new type of utility is emerging using real-time pricing signals from wholesale markets to give households hassle-free energy savings. Evolve Energy in Texas is developing a utility service model, even as Texas utilities revisit smart home network strategies, that delivers electricity to consumers at real-time market prices and connects to smart thermostats and other connected devices in the home for simple monitoring and control -- all managed via an intuitive consumer app.

My company, Bidgely, partners with utilities and energy retailers all over the world to apply artificial intelligence and machine learning algorithms to customer data in order to bring transparency to their electricity bills, showing exactly where the customers’ money is going down to the appliance and offering personalized, actionable advice on how to save.

Another example is from energy management company Keewi. Its wireless outlet adaptors are revealing real-time energy usage information to Texas A&M dorm residents as well as providing students the ability to conserve energy through controlling items in their rooms from their smartphones.

These are but a few examples of innovations among many in play that answer the consumer demand for increased transparency and control over energy usage.

Electric service providers will be closely watching how consumers respond to AI-driven innovation, including providers in traditionally regulated markets that are exploring equitable regulation approaches now, to stay aligned with policy and customer expectations. While regulated utilities have no reason to fear that their customers might sign up with a competitor, they understand that the revenues from electricity sales are going down and the deployment of distributed energy resources is going up. Both trends were reflected in a March report from Bloomberg New Energy Finance (via ThinkProgress) that claimed unsubsidized storage projects co-located with solar or wind are starting to compete with coal and gas for dispatchable power. Change is coming to regulated markets, and some of that change can be attributed to customer dissatisfaction with utility service.

Like so many industries before, the utility-customer relationship is on track to become less about measuring unit sales and more about driving revenue through services and delivering the best customer value. Loyal customers are most likely to listen and follow through on the utility’s advice and to trust the utility for a wide range of energy-related products and services. Utilities that make customer experience the highest priority today will emerge tomorrow as the leaders of a new energy service era.

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Medicine Hat Bitcoin Mining Facility drives massive electricity demand and energy use, leveraging natural gas and nearby wind power; Hut 8 touts economic growth, while critics cite carbon emissions, renewables integration, and climate impact.

Key Points

A Hut 8 project in Alberta that mines bitcoin at scale, consuming up to 60 MW and impacting energy and emissions.

✅ Consumes more than 60 MW, rivaling citywide electricity use

✅ Sited by natural gas plant; wind turbines nearby

✅ Economic gains vs. carbon emissions and climate risks

On the day of the grand opening of the largest bitcoin mining project in the country, the weather was partly cloudy and 15 C. On a Friday afternoon like this one, the new facility uses as much electricity as all of Medicine Hat, Alta., a city of more than 60,000 people and home to several large industrial plants.

The vast amount of electricity needed for bitcoin mining is why the city of Medicine Hat has championed the economic benefits of the project, while environmentalists say they are wary of the significant energy use.

Toronto-based Hut 8 has spent more than $100 million to develop the 4½-hectare site on the northern edge of the city. It has 56 shipping containers, each filled with 180 computer servers that digitally mine for bitcoin around the clock.

The company said it has already mined more than 3,300 bitcoins in Alberta, including at its much smaller site in Drumheller. On average, the Medicine Hat facility mines about 20 bitcoins per day. The value of bitcoin can fluctuate daily, but has sold recently for around $9,000.

The bitcoin mining facility is located right beside the city of Medicine Hat's new natural gas-fired power plant and four wind turbines are a short distance away. The bitcoin plant can consume more than 60 megawatts of power, more than 10 times more electricity used by any other facility in the city, according to the mayor.

That's why, in the event of a summer heat wave, the city has provisions in place to pull the plug on the electricity it provides to Hut 8, mirroring utility pauses on crypto loads seen elsewhere, so there won't be any blackouts for residents, according to the mayor.

Still, some say the bitcoin mining industry wastes far too much energy

"It's a huge magnitude when you talk about the carbon emissions," said Saeed Kaddoura, an analyst with the Pembina Institute, an environmental think-tank. "Moving forward, there needs to be some consideration on what the environmental impact of this is."

Medicine Hat owns its own natural gas and electricity generation and distribution businesses. The city leases the land to Hut 8 and the facility employs 40 full-time workers. Add up the economic benefits and the city of Medicine Hat will receive a significant financial boost from the new project, says Ted Clugston, the city's mayor.

Financial details of the city's deal with Hut 8 are not disclosed.

For more than a century, the city has attracted business by offering low-cost energy, and the mayor said this project is no different.

"They could have gone anywhere in the world and they chose Medicine Hat," said Clugston. "[Hut 8] is not here for renewable energy because it is not reliable. They need gas-fired generation and we have it in spades."

Environmental groups are concerned by the sheer amount of energy consumed by bitcoin mining, with some utilities warning they can't serve new energy-intensive customers right now, especially in places like Medicine Hat where most of the electricity is produced by fossil fuels.

The bitcoin system is designed, so only a limited number of the cryptocurrency can be mined everyday. Over time, as more miners compete for a decreasing number of available bitcoins, facilities will have to use more electricity compared to the amount of the cryptocurrency they collect.

"The way the bitcoin algorithm works is that it's designed to waste as much electricity as possible. And the more popular bitcoin becomes, the more electricity it wastes," said Keith Stewart, a spokesperson for Greenpeace.

Stewart questions whether natural gas should be used to produce a digital product.

"If you live in Alberta, you want to have heat and light, those types of things. I don't think bitcoin is a necessity of life for anyone," he said.

The CEO of Hut 8 completely disagrees, arguing the cryptocurrency is essential.  

"Bitcoin was created during the financial crisis. It has really served a purpose in terms of providing the opportunity for people who don't necessarily trust their government or their central banks," said Andrew Kiguel.

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Near-Field Thermophotovoltaics captures radiated energy across a nanoscale gap, using thin-film photovoltaic cells and indium gallium arsenide to boost power density and efficiency, enabling compact Army portable power from emitters via radiative heat transfer.

Key Points

A nanoscale TPV method capturing near-field photons for higher power density at lower emitter temperatures.

✅ Nanoscale gap boosts radiative transfer and usable photon flux

✅ Thin-film InGaAs cells recycle sub-band-gap photons via reflector

✅ Achieved ~5 kW/m2 power density with higher efficiency

With the addition of sensors and enhanced communication tools, providing lightweight, portable power has become even more challenging, with concepts such as power from falling snow illustrating how diverse new energy-harvesting approaches are. Army-funded research demonstrated a new approach to turning thermal energy into electricity that could provide compact and efficient power for Soldiers on future battlefields.

Hot objects radiate light in the form of photons into their surroundings. The emitted photons can be captured by a photovoltaic cell and converted to useful electric energy. This approach to energy conversion is called far-field thermophotovoltaics, or FF-TPVs, and has been under development for many years; however, it suffers from low power density and therefore requires high operating temperatures of the emitter.

The research, conducted at the University of Michigan and published in Nature Communications, demonstrates a new approach, where the separation between the emitter and the photovoltaic cell is reduced to the nanoscale, enabling much greater power output than what is possible with FF-TPVs for the same emitter temperature.

This approach, which enables capture of energy that is otherwise trapped in the near-field of the emitter is called near-field thermophotovoltaics or NF-TPV and uses custom-built photovoltaic cells and emitter designs ideal for near-field operating conditions, alongside emerging smart solar inverters that help manage conversion and delivery.

This technique exhibited a power density almost an order of magnitude higher than that for the best-reported near-field-TPV systems, while also operating at six-times higher efficiency, paving the way for future near-field-TPV applications, including remote microgrid deployments in extreme environments, according to Dr. Edgar Meyhofer, professor of mechanical engineering, University of Michigan.

"The Army uses large amounts of power during deployments and battlefield operations and must be carried by the Soldier or a weight constrained system," said Dr. Mike Waits, U.S. Army Combat Capabilities Development Command's Army Research Laboratory. "If successful, in the future near-field-TPVs could serve as more compact and higher efficiency power sources for Soldiers as these devices can function at lower operating temperatures than conventional TPVs."

The efficiency of a TPV device is characterized by how much of the total energy transfer between the emitter and the photovoltaic cell is used to excite the electron-hole pairs in the photovoltaic cell, where insights from near-light-speed conduction research help contextualize performance limits in semiconductors. While increasing the temperature of the emitter increases the number of photons above the band-gap of the cell, the number of sub band-gap photons that can heat up the photovoltaic cell need to be minimized.

"This was achieved by fabricating thin-film TPV cells with ultra-flat surfaces, and with a metal back reflector," said Dr. Stephen Forrest, professor of electrical and computer engineering, University of Michigan. "The photons above the band-gap of the cell are efficiently absorbed in the micron-thick semiconductor, while those below the band-gap are reflected back to the silicon emitter and recycled."

The team grew thin-film indium gallium arsenide photovoltaic cells on thick semiconductor substrates, and then peeled off the very thin semiconductor active region of the cell and transferred it to a silicon substrate, informing potential interfaces with home battery systems for distributed use.

All these innovations in device design and experimental approach resulted in a novel near-field TPV system that could complement distributed resources in virtual power plants for resilient operations.

"The team has achieved a record ~5 kW/m2 power output, which is an order of magnitude larger than systems previously reported in the literature," said Dr. Pramod Reddy, professor of mechanical engineering, University of Michigan.

Researchers also performed state-of-the-art theoretical calculations to estimate the performance of the photovoltaic cell at each temperature and gap size, informing hybrid designs with backup fuel cell solutions that extend battery life, and showed good agreement between the experiments and computational predictions.

"This current demonstration meets theoretical predictions of radiative heat transfer at the nanoscale, and directly shows the potential for developing future near-field TPV devices for Army applications in power and energy, communication and sensors," said Dr. Pani Varanasi, program manager, DEVCOM ARL that funded this work.

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