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090			_aB-16186
245	1	0	_aOptimal operation via a recurrent neural network of a wind-solar energy system
490	0		_vProceedings of the International Joint Conference on Neural Networks, Article number 6033505, p.2222-2228, 2011
520	3		_aThis paper focuses on the optimal operation of a wind-solar energy system, interconnected to the utility grid; moreover, it incorporates batteries for energy storing and supplying, and an electric car. It presents a neural network optimization approach combined with a multi-agent system (MAS). The objective is to determine the optimal amounts of power for wind, solar, and batteries, including the one of the electric car, in order to minimize the amount of energy to be provided by the utility grid. Simulation results illustrate that generation levels for each energy source can be reached in an optimal form using the proposed method. © 2011 IEEE.
650	1	4	_aFUELING
650	1	4	_aINTELLIGENT AGENTS
650	1	4	_aMULTI AGENT SYSTEMS
650	1	4	_aOPTIMIZATION
650	1	4	_aRECURRENT NEURAL NETWORKS
650	1	4	_aSOLAR CONCENTRATORS
650	1	4	_aSOLAR RADIATION
700	1	2	_aGamez, M.E.
700	1	2	_aSanchez, E.N.
700	1	2	_aRicalde, L.J.
856	4	0	_uhttps://drive.google.com/file/d/1V_QsoQK9fka08xLlcx8mMBmKsxCwCM_l/view?usp=drivesdk _zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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