Aljanabi, Ihsan BasilCansever, Galip2022-08-052022-08-052022Aljanabi, I. B., Cansever, G. (2022). Management of hybrid electric microgrid using fuzzy logic and adaptive neural network. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE.9781665468350https://hdl.handle.net/20.500.12939/2779The Energy most countries installed a distributed generation micro-grid which incorporates renewable resources (solar and wind energy) With respect to this system, in this work two topics are addressed; the calculation of the range in which the demand can move and the effect that the demand management signals have on the forecast. For the first topic, fuzzy intervals will be used to determine, based on historical data, the dynamic range. This range provides the limits to the optimizer for the load displacement factor, on which the signals that are sent to the consumers depend.eninfo:eu-repo/semantics/closedAccessEMSFuzzy LogicMGSGConference Object2-s2.0-85133978817N/A