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. 10.4229/EUPVSEC20202020-6BV.5.4

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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, Horst0009-0007-9482-1705;
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:

12 Aug 2024 15:05

Publisher DOI:

10.4229/EUPVSEC20202020-6BV.5.4

Related URLs:

ARBOR DOI:

10.24451/arbor.13343

URI:

https://arbor.bfh.ch/id/eprint/13343

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