Tag: renewable energy integration

A new data-driven framework combines deep-learning probabilistic forecasting with convex optimization to coordinate virtual power plants and upstream substations under ...

A linear day-ahead clearing model for integrated energy systems reveals that carbon pricing, demand shifting, and grid capacity must be ...

Researchers in China have developed a transparent deep learning framework called MDANet that accurately predicts the dynamic behavior of a ...

A UCF engineer has received a $400,000 NSF grant to measure, for the first time, how metal oxide particles flow ...

A new bi-level optimization framework coordinates solar generation, battery storage, and vehicle-to-grid electric vehicle fleets, cutting a charging station's evening ...

Researchers have developed a structural diagnostic framework that converts causal feedback maps of coastal special economic zones into network statistics, ...

Researchers adapted the classic A* pathfinding algorithm to distribute electricity loads across cascade hydropower stations, achieving a roughly 5,347-fold speedup ...

A new review details how microbial electrosynthesis can convert renewable electricity and CO2 into acetate, bioplastics, upgraded biogas, and single-cell ...

Quantum computers are being positioned to transform how the world's energy systems are forecast and scheduled, according to a new ...

The rooftops of the world are quietly turning into power stations, and the shift is breaking one of the oldest ...