Lagos — AI-enabled smart grids are revolutionizing energy production and distribution through real-time predictive analytics and machine learning, dynamically aligning supply with demand. AI is ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

AI-enabled smart grids use real-time predictive analytics and machine learning to match supply with demand, improving efficiency.

Aspen Power, a leading distributed generation platform, announced that Jorge Vargas, co-founder and chief executive officer, ...

BlackRock Energy & Resources Trust yield is supported by recent earnings, allowing to better capture upside. Learn why BGR ...

We're keeping tabs on efforts to launch AI into orbit, including new customers for the largest orbital compute cluster, the ...

In 2026, data isn’t just growing; it’s exploding. Whether it’s AI-driven analytics or massive video archives, your customers ...

The AEMC has released a draft rule to modernise distribution network planning in response to the rapid uptake of CERs.

At Data Center World, Omdia analysts argued that the AI infrastructure buildout is no longer just a hyperscaler story. It is ...

Spotlight features small and mid-cap names spanning power generation, storage, electric mobility, charging, electric aviation ...

EU energy funding in the 2028–2034 budget is presented as crucial for reducing costs, strengthening competitiveness, ensuring ...

An AI-powered organization needs considerable rack power, facility power, floor space, and cooling capacity to support a data ...