Hybrid Algorithm Optimizes Renewable Distributed Generation Under Uncertainty in Power Networks
An optimization planning model using an improved genetic moth swarm algorithm effectively placed and sized hybrid renewable generation units under ...
An optimization planning model using an improved genetic moth swarm algorithm effectively placed and sized hybrid renewable generation units under ...
A hybrid artificial intelligence framework combining bat metaheuristics with chaotic fuzzy neural networks optimizes transmission line capacity and wind power ...
A continuous-time multi-physics framework combining equivalent circuit dynamics, Arrhenius thermal feedback, and modular user workloads achieves a 1.42 percent error ...
A deep multi-agent reinforcement learning framework that jointly coordinates electric vehicle charging, traffic routing and grid dispatch cut total system ...
Researchers propose EMASDCS, a hybrid metaheuristic combining echo localization search and adaptive memory enhanced learning, and show competitive efficiency on ...
A deep reinforcement learning framework that treats dynamic grid strength as an actively managed constraint cut annual wind curtailment from ...
A simulation study of a weak 22 kV feeder in Phongsaly, Laos, finds that a synchronized fleet of 784 electric ...
Researchers have extended a high-fidelity voltage stability index into a probabilistic framework that quantifies collapse probability, confidence bounds and risk-based ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine