Researchers are investigating ways to better plan for climate-resilient energy systems in the Global South. Focusing on the case study of Accra, the capital of Ghana, the multidisciplinary team ...

Buildings researchers at the Department of Energy's Pacific Northwest National Laboratory have released a new AI-driven, autonomous bot that could help speed up the energy modeling process for ...

Large language models (LLMs) are rapidly moving beyond chat interfaces into the core of global energy systems, where they are being deployed to improve forecasting, optimize infrastructure, and ...

The global transition toward low-carbon development is accelerating the deployment of next-generation multi-energy systems that integrate renewable and ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Just over 15 years ago, Kannan Ramachandran had an idea. The scientist in PSI-LEA's Energy Economics Group started working on a new energy-economic model for Switzerland. One of the criteria he wanted ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

As renewable energy surges, balancing power grids with human comfort becomes critical. Tsinghua researchers propose ...

On the path to carbon neutrality, more than 40 countries and the European Union – representing over 70 per cent of global CO2 emissions – have committed to net zero objectives, most of them by 2050.

Just over fifteen years ago, Kannan Ramachandran had an idea. With seed funding from the Swiss Federal Office of Energy, the scientist in PSI-LEA's Energy Economics Group started working on a new ...