Optimising Own PV Consumption with PV Energy Yield Predictions from Machine Learning Algorithms and Weather Data

Heck, Horst; Schmidt, Armin Jürg; Kuonen, Franziska; Bacha, Sania; Schüpbach, Eva; Muntwyler, Urs (8 September 2020). Optimising Own PV Consumption with PV Energy Yield Predictions from Machine Learning Algorithms and Weather Data In: 37th EU PVSEC 2020. Online. 7.-11. September 2020.

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Item Type:	Conference or Workshop Item (Poster)
Division/Institute:	School of Engineering and Computer Science > Institut für Optimierung und Datenanalyse IODA School of Engineering and Computer Science > Institute for Energy and Mobility Research IEM > IEM / Photovoltaic systems
Name:	Heck, Horst; Schmidt, Armin Jürg; Kuonen, Franziska; Bacha, Sania; Schüpbach, Eva and Muntwyler, Urs
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Language:	English
Submitter:	Horst Heck
Date Deposited:	09 Nov 2020 11:28
Last Modified:	21 Sep 2021 02:18
Related URLs:	Dataset
ARBOR DOI:	10.24451/arbor.13343
URI:	https://arbor.bfh.ch/id/eprint/13343