Short term net load forecasting using computational intelligence techniques

Net load forecasting has become increasingly complex due to the high penetration of renewables and evolving data subject to so-called concept drift, i.e., sudden and large changes in the energy flow pattern. Accurate net load forecasting is essential to prevent unexpected imbalances across all volta...

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Bibliographic Details

Published in:	7th E-Mobility Power System Integration Symposium (EMOB 2023) Vol. 2023; pp. 139 - 145
Main Authors:	Laouali, I. H., Italiano, N., Casaleiro, Â., Alvite, I., da Silva, N. P.
Format:	Conference Proceeding
Language:	English
Published:	The Institution of Engineering and Technology 2023
Online Access:	Get full text
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