Work

Data-Driven Modelling of PV Production to Increase Forecast Accuracy of Multi-Inverter Plants

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

DOI: 10.1109/eeeic/icpseurope64998.2025.11169128

Authors: Lapo Cheli, Amir Gamahdrid Iualè, Alessandro Innocenti

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4414648608

FWCI:

Cites: 14

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