Optimization of Photovoltaic and Battery Storage Sizing in a DC Microgrid Using LSTM Networks Based on Load Forecasting

Optimization of Photovoltaic and Battery Storage Sizing in a DC Microgrid Using LSTM Networks Based on Load Forecasting

This study presents an optimization approach for sizing photovoltaic (PV) and battery energy storage systems (BESSs) within a DC microgrid, aiming to enhance cost-effectiveness, energy reliability, and environmental sustainability. PV generation is modeled based on environmental parameters such as s...

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Bibliographic Details
Main Authors: Süleyman Emre Eyimaya, Necmi Altin, Adel Nasiri
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
microgrid
renewable energy systems
battery storage sizing
photovoltaic sizing
Online Access:https://www.mdpi.com/1996-1073/18/14/3676
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