The government has said rental properties must have a minimum EPC rating of C by 2030. We explain how much it will cost ...

Companies and consumers adopting AI software can now see how the AI models rate for energy efficiency, a potential ...

The private sector has a crucial role to play in embedding resilience, but it cannot do much without support from other ...

Techopedia speaks to Schneider Electric about a future where AI cuts energy bills, optimizes electricity use, and helps homes ...

This is a very small amount, notwithstanding the many billions of tasks that computers perform. If we could operate computers ...

The rapid rise of data centers has put many power industry demand forecasters on edge. Some predict the power-hungry nature ...

Photovoltaics (PVs), devices that can convert sunlight into electrical power, are becoming increasingly widespread and more ...

Abstract: In [1, p. 1124], a footnote is needed on (13) as shown below: \begin{equation*}\qquad\qquad\quad{{\alpha }^\# } \left( {1 - {{c}_1}} \right)\alpha + \left ...

DeepSeek delivers high-performing, cost-effective models using weaker GPUs, questioning the trillion-dollar spend on US AI ...

It’s not uncommon for unique, locally available resources to be incorporated into district energy systems, which often adds to a system’s efficiency, and can provide economic and environmental ...

Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and ...