Arcos Avilés, DiegoGordillo, RodolfoGuinjoan Gispert, FrancescSanchis Gúrpide, PabloPascual Miqueleiz, Julio MaríaMarietta, Martin P.Marroyo Palomo, LuisIbarra, Alexander2019-12-202019-12-312018D. Arcos-Aviles et al., 'Fuzzy-based energy management of a residential electro-thermal microgrid based on power forecasting,' IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, 2018, pp. 1824-1829. doi: 10.1109/IECON.2018.8591575978-1-5090-6684-12577-1647 (Electronic)10.1109/IECON.2018.8591575https://academica-e.unavarra.es/handle/2454/35942In this paper, an energy management strategy based on microgrid power forecasting is applied to a residential grid-connected electro-thermal microgrid with the aim of smoothing the power profile exchanged with the grid. The microgrid architecture under study considers electrical and thermal renewable generation, energy storage system (ESS), and loads. The proposed strategy manages the energy stored in the ESS to cover part of the energy required by the thermal generation system for supplying domestic hot water to the residence. The simulation results using real data and the comparison with previous strategy have demonstrated the effectiveness of the proposed strategy.6 p.application/pdfeng©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.MicrogridsEnergy managementRenewable energy sourcesDistributed power generationFuzzy logic controlinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess