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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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Principais autores: Marek Bobček, Róbert Štefko, Július Šimčák, Zsolt Čonka
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-10-01
coleção:Batteries
Assuntos:
battery
prediction
power grid
consumption energy
Kalman filter
Holt’s exponential smoothing
Acesso em linha:https://www.mdpi.com/2313-0105/11/10/370
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