As green hydrogen scales from pilot projects to industrial supply chains, the organizations that pair AI-powered digital twins with green hydrogen-as-a-service (GHaaS) commercial structures will be best positioned to deliver clean hydrogen at competitive cost and speed.
IT security firm Jakkaru has identified a vulnerability in microinverters from AP Systems that could enable a “kill switch” scenario, potentially shutting down tens of thousands of inverters simultaneously and disrupting grid operations.
Tata Power has announced the enterprise-wide adoption of the Databricks platform to accelerate its data and AI transformation, aiming to improve operational efficiency, decision-making, and digital innovation across all its business clusters.
Data centers are using batteries to run more AI on the same grid connection.
BloombergNEF global report finds corporate clean energy procurement fell in 2025 for first time in nine years amid negative pricing and policy uncertainty. Big Tech leads procurement as number of cPPA offtakers halved in the United States. Solar remains the top generating technology for cPPAs.
Modern wind turbines and solar plants generate large volumes of operational data. By leveraging analytics, inefficiencies can be identified, performance assessed in real-time, and emerging issues addressed before they escalate. A dynamic operations and maintenance (O&M) support system builds on this intelligence to provide a strong grip on performance levels while minimising downtime.
Elon Musk says a constellation of solar-powered artificial intelligence satellites could regulate the planet’s energy balance and limit global warming.
A modern grid must balance growing demand from new sources like electric vehicles (EVs) with the intermittent supply from renewable sources like solar and wind power. AI-powered smart grids use sophisticated algorithms to forecast power demand and match it with fluctuating renewable generation in real time.
The solar energy industry is capitalising on the integration of automation and AI. These technologies play an integral role in transforming solar operations from reactive and manual processes into intelligent, predictive and highly efficient systems.
Honeywell Protonium uses machine learning to optimize the design and operation of green hydrogen projects. Aternium, a US-based large-scale clean hydrogen producer, will deploy the technology at its planned Mid-Atlantic Clean Hydrogen Hub.
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