Work

A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast

Year: 2024

Type: conference-paper

Source: IEEE PES Innovative Smart Grid Technologies Europe

DOI: 10.1109/isgteurope62998.2024.10863315

Authors: Katrin Schulte, Lars Engel, Lars Quakernack, Fynn Liegmann, Jens Haubrock

Institution: Hochschule Bielefeld

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Ministry of Education

OpenAlex ID: W4407362777

FWCI: 0.634

Cites: 10

Cited by: 2

Related to: 10