Deep learning-based rolling horizon unit commitment under hybrid uncertainties
Sign Up to like & getrecommendations! Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2019.07.173
Abstract: Abstract Unit commitment is an optimization problem in power systems, which aims to satisfy future load at minimal cost by scheduling the on/off state and output of generation resources like thermal units. One challenge herein… read more here.
Keywords: unit commitment; unit; rolling horizon; power ... See more keywords
Fatigue reliability analysis for structures with hybrid uncertainties combining quadratic response surface and polynomial chaos expansion
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DOI: 10.1016/j.ijfatigue.2020.106071
Abstract: Abstract This study attempted to propose a novel efficient and accurate uncertainty analysis method for structural fatigue life prediction with hybrid uncertainties. First, PCE was adopted to deal with independent normal random variables, where polynomial… read more here.
Keywords: hybrid uncertainties; analysis; fatigue; reliability analysis ... See more keywords
Multi-Objective Robust Optimization of a Dual-Flux-Modulator Magnetic Geared Machine With Hybrid Uncertainties
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Energy Conversion"
DOI: 10.1109/tec.2020.3003402
Abstract: In order to improve the robustness and torque performance of a dual-flux-modulator magnetic-geared machine (DFM-MGM) considering simultaneously both random and interval uncertainties of design parameters, a multi-objective robust optimization (MORO) method with multiple Monte Carlo… read more here.
Keywords: optimization; flux modulator; multi objective; modulator magnetic ... See more keywords