A fuzzy reinforcement learning approach to thermal unit commitment problem
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3106-5
Abstract: Unit commitment problem (UCP) aims at optimizing generation cost for meeting a given load demand under several operational constraints. We propose to use fuzzy reinforcement learning (RL) approach for efficient and reliable solution to the… read more here.
Keywords: unit commitment; reinforcement learning; unit; fuzzy reinforcement ... See more keywords
A novel hybrid approach based on relief algorithm and fuzzy reinforcement learning approach for predicting wind speed
Sign Up to like & getrecommendations! Published in 2021 at "Sustainable Energy Technologies and Assessments"
DOI: 10.1016/j.seta.2020.100920
Abstract: Abstract Wind speed (WS) prediction has become popular nowadays due to increasing demand for wind power generation and competitive development in wind energy. Many prediction models are used to predict WS for which wind is… read more here.
Keywords: fuzzy reinforcement; speed; model; wind speed ... See more keywords
Sustainable EV routing using spectral clustering and fuzzy reinforcement learning with energy constrained A* under mobility index and waiting constraints
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-26998-8
Abstract: This research presents a comprehensive electric vehicle (EV) routing framework designed to address the complex interplay of real-world constraints in EV navigation. The proposed system integrates spectral clustering, fuzzy reinforcement learning, and enhanced pathfinding algorithms… read more here.
Keywords: energy; time; spectral clustering; reinforcement learning ... See more keywords
Real-time sustainable cobotic disassembly planning using fuzzy reinforcement learning
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Production Research"
DOI: 10.1080/00207543.2024.2431172
Abstract: Collaborative robots (cobots) play a vital role in smart manufacturing, particularly in disassembly processes. Human-robot collaboration (HRC) methods simultaneously leverage the complementary capabilities of humans and cobots, offering promising improvements in disassembly processes. A review… read more here.
Keywords: disassembly planning; time; real time; model ... See more keywords