ThinkLabs AI’s CEO spoke to EEPower about helping Southern California Edison automate its grid planning and operations with AI.
ThinkLabs AI’s CEO spoke to EEPower about helping Southern California Edison automate its grid planning and operations with AI.
Learn how California microgrids offer resilience and cost savings for critical facilities like data centers, using hybrid…
Learn how California microgrids offer resilience and cost savings for critical facilities like data centers, using hybrid renewable systems (solar,…
Kauaʻi’s 2021 oscillation event and a 2023 repeat test show how grid-forming controls can replace lost inertia and…
Kauaʻi’s 2021 oscillation event and a 2023 repeat test show how grid-forming controls can replace lost inertia and damp harmful frequency swings
An energy system optimization study modeled regional pathways allowing Southeast Asia to achieve net-zero greenhouse gas…
An energy system optimization study modeled regional pathways allowing Southeast Asia to achieve net-zero greenhouse gas emissions in its…
Envelio's tool uses continuously updated, interactive maps to streamline planning and grid connection of distributed…
Envelio's tool uses continuously updated, interactive maps to streamline planning and grid connection of distributed energy resources.
Electric vehicles and batteries, data centers, power transmission and management, renewable energy, and nuclear…
Electric vehicles and batteries, data centers, power transmission and management, renewable energy, and nuclear technology can all benefit from…
AI data centers are on track to increase carbon emissions as much as 20%. A Cornell University report proposes ways to…
AI data centers are on track to increase carbon emissions as much as 20%. A Cornell University report proposes ways to slow the trend.
MIT researchers created a problem-solving framework that outperforms other methods in identifying grid constraints.
MIT researchers created a problem-solving framework that outperforms other methods in identifying grid constraints.
Researchers have developed a federated learning framework to help smart grids detect DDoS attacks without exposing users'…
Researchers have developed a federated learning framework to help smart grids detect DDoS attacks without exposing users' energy profiles,…
A study found that machine learning, dynamic cryptography, and forensic analysis can harden industrial control systems…
A study found that machine learning, dynamic cryptography, and forensic analysis can harden industrial control systems against sophisticated…
VPP deployments jumped 33% in 2024, but new capacity remains muted.
VPP deployments jumped 33% in 2024, but new capacity remains muted.
University of Texas Dallas engineers have found that coordinating electricity consumption with renewable energy…
University of Texas Dallas engineers have found that coordinating electricity consumption with renewable energy production can substantially reduce…
As high-voltage transmission line demand explodes in the U.S, a new consortium gearing up to tackle the key legal and…
As high-voltage transmission line demand explodes in the U.S, a new consortium gearing up to tackle the key legal and regulatory changes needed to…
Electric vehicles and hot water systems could provide city-scale energy storage and demand flexibility equivalent to…
Electric vehicles and hot water systems could provide city-scale energy storage and demand flexibility equivalent to several gigawatt-hours,…
Electric vehicle charging presents multiple cybersecurity risks that smart grids alone struggle to handle.
Electric vehicle charging presents multiple cybersecurity risks that smart grids alone struggle to handle.
Upgrades to the charging standard support 1,000 V operation, enable bidirectional charging, and align with high-voltage…
Upgrades to the charging standard support 1,000 V operation, enable bidirectional charging, and align with high-voltage vehicle architecture.
How is machine learning improving renewable energy and grid management? A survey of use cases in energy systems sheds some light.
How is machine learning improving renewable energy and grid management? A survey of use cases in energy systems sheds some light.
Inventions in 2024 included flexible wave energy converters, a contactless characterization tool for solar materials, and…
Inventions in 2024 included flexible wave energy converters, a contactless characterization tool for solar materials, and a grid system that…
Energy demand is facing unprecedented growth, and generation resources are changing. How can energy leaders handle the…
Energy demand is facing unprecedented growth, and generation resources are changing. How can energy leaders handle the increase and plan for an…
Hitachi’s Narashino Works deploys inverter-based systems to stabilize industrial power.
Hitachi’s Narashino Works deploys inverter-based systems to stabilize industrial power.
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