As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...
A hybrid geothermal-biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization. Using exergy analysis and particle swarm optimization, the ...
The integration of distributed generations (DGs) and time-varying loads introduces significant uncertainties in distribution network planning. Existing methods often rely on simplified scenarios (e.g.
Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...
1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...
EPTHenOpt is a powerful Python package designed for the synthesis and optimization of Heat Exchanger Networks (HEN). The goal of HEN synthesis is to design a network of heat exchangers that minimizes ...
Abstract: The research on Optimal Power Flow (OPF) problems in power systems has undergone significant development, yet a significant gap persists in effectively addressing the multi-objective nature ...
Abstract: This paper presents the application of multiple-objective particle swarm optimization (MOPSO) algorithm for solving the static reactive power dispatch (RPD) problem. The optimal RPD problem ...
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