Probabilistic PV Power Forecasting by a Multi-Modal Method using GPT-Agent to Interpret Weather Conditions

Traditionally Photovoltaic (PV) power generation forecasting is based on numeric meteorological vectors to capture weather conditions, which generally misses valuable multi-modal information such as those contained in linguistic weather descriptions. In the light of the recent success of large langu...

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Veröffentlicht in:	IEEE Conference on Industrial Electronics and Applications (Online) S. 1 - 6
Hauptverfasser:	Yan, Ziming, Zhenyuan, Du, Xu, Yan, Zhou, Ziyan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.08.2024
Schlagworte:	GPT-Agent Linguistics multi-modal forecasting Photovoltaic systems Predictive models Probabilistic logic Probabilistic PV forecasting Transformers Vectors Weather forecasting
ISSN:	2158-2297
Online-Zugang:	Volltext
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