A Novel Approach to Day-Ahead Forecasting of Battery Discharge Profiles in Grid Applications Using Historical Daily

This paper presents a day-ahead forecasting approach for discharge profiles of a 0.5 MW battery energy storage system connected to the power grid, utilizing historical daily discharge profiles collected over one year to capture key operational patterns and variability. Two forecasting techniques are...

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Hauptverfasser:	Marek Bobček, Róbert Štefko, Július Šimčák, Zsolt Čonka
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-10-01
Schriftenreihe:	Batteries
Schlagworte:	battery prediction power grid consumption energy Kalman filter Holt’s exponential smoothing
Online-Zugang:	https://www.mdpi.com/2313-0105/11/10/370
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