Kozlov A.N., Tomin N.V., Sidorov D.N., Lora E.E.S., Kurbatsky V.G. Optimal operation control of PV-biomass gasifier-diesel-hybrid systems using reinforcement learning techniques // Energies. Vol.13. No.10. ID: 2632. 2020. DOI: 10.3390/en13102632 The importance of efficient utilization of biomass as renewable energy in terms of global warming and resource shortages are well known and documented....
Теги: biomass , co2 reduction , machine learning , microgrids , mixed integer linear programming , operations research , optimization , reinforcement learning , diesel engines , dual fuel engines , fuels , gasification , global warming , hybrid systems , learning systems , maEdelev A.V., Karamov D.N., Sidorov I.A., Binh D.V., Nam N.H., Anh N.H., Duy P.V., Hanh P.T. Modelling energy systems of Vietnam with integration of renewable power sources // CEUR Workshop Proceedings. Vol.2430. 2019. P.42-50. The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a...
Теги: control systems , distributed computer systems , markov processes , reinforcement learning , renewable energy resources , stochastic systems , market condition , markov decision processes , operational decisiTomin N., Kurbatsky V., Guliyev H. Intelligent control of a wind turbine based on reinforcement learning // 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. ID: 8771645. 2019. ISBN (print): 9781728114132. DOI: 10.1109/ELMA.2019.8771645 Advanced controllers of modern wind turbines can ...
Теги: control , mimo control , pitch control , reinforcement learning , torque control , wind turbine , adaptive control systems , control engineering , electric machinery , machine learning , mimo systems , stochastic systems , wind , wind turbines , adaptive control des
