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Forecasting of Electric Energy Consumption for Housing Cooperative with a Grid Connected PV System
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).ORCID iD: 0000-0002-6865-7346
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).
Glava Energy Center.
2019 (English)In: 7th International Conference on Smart Grid, icSmartGrid 2019, IEEE, 2019, p. 118-125, article id 8990767Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2019. p. 118-125, article id 8990767
Keywords [en]
Photovoltaic system; artificial intelligence; energy consumption; housing cooperative
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kau:diva-76832DOI: 10.1109/icSmartGrid48354.2019.8990767Scopus ID: 2-s2.0-85081067006OAI: oai:DiVA.org:kau-76832DiVA, id: diva2:1394154
Conference
7th International Conference on Smart Grid, icSmartGrid 2019; Newcastle; Australia; 9 December 2019 through 11 December 2019;
Available from: 2020-02-18 Created: 2020-02-18 Last updated: 2025-10-17Bibliographically approved

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Solis, Jorge

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