Review maps AI roles in renewable-energy modeling and transition pathways
A systems-oriented review reports that AI is applied across solar, hydropower and wind systems, with deep learning prominent in forecasting ...
A systems-oriented review reports that AI is applied across solar, hydropower and wind systems, with deep learning prominent in forecasting ...
Boise State has joined ASPIRE, a planned Department of Energy-backed research project that will combine agentic AI, atmospheric data, literature ...
Tunisia could run its entire electricity grid on renewable energy by 2050, according to a new techno-economic study that models ...
A 195-country panel study finds that the apparent link between governance quality and renewable electricity is fragile across countries and ...
A new PESTEL and SWOT analysis of Nepal's clean cooking transition finds that biomass dependence has fallen but governance failures, ...
A new coupled modeling study quantifies season-specific ecological flow requirements for the Four Major Chinese Carps across their full life ...
Researchers have developed a hybrid evolutionary algorithm and an attention-based neural network that dramatically speed up and improve the simulation ...
A new spatiotemporal life cycle assessment reveals that China's provincial power grids vary so widely in carbon intensity that the ...
A five-step machine learning framework projects sharp, basin-specific declines and surprising gains in West African hydropower under future climate scenarios.
Researchers have compiled and field-validated the most complete harmonized dataset of dams and reservoirs in West Africa, revealing systematic gaps ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine