Empowering smart grid: A comprehensive review of energy storage technology and application with renewable energy integration

KM Tan, TS Babu, VK Ramachandaramurthy… - Journal of Energy …, 2021 - Elsevier
The rapid growth in the usage and development of renewable energy sources in the present
day electrical grid mandates the exploitation of energy storage technologies to eradicate the …

Energy storage and management system design optimization for a photovoltaic integrated low-energy building

J Liu, X Chen, H Yang, Y Li - Energy, 2020 - Elsevier
This study aims to analyze and optimize the photovoltaic-battery energy storage (PV-BES)
system installed in a low-energy building in China. A novel energy management strategy …

Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review

JFL de Oliveira, PSG de Mattos Neto, HV Siqueira… - Energies, 2023 - mdpi.com
The worldwide appeal has increased for the development of new technologies that allow the
use of green energy. In this category, photovoltaic energy (PV) stands out, especially with …

Bi-level Optimization of Sizing and Control Strategy of Hybrid Energy Storage System in Urban Rail Transit Considering Substation Operation Stability

H Dong, Z Tian, JW Spencer, D Fletcher… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The hybrid energy storage system (HESS) which consists of battery and ultracapacitor can
efficiently reduce the substation energy cost from grid and achieve the peak shaving …

A real options approach to renewable energy module end-of-life decisions under multiple uncertainties: Application to PV and wind in China

Z Chen, F Wang, T Wang, R He, J Hu, L Li, Y Luo… - Renewable Energy, 2024 - Elsevier
The issue of large-scale retirements of renewable energy modules has attracted
considerable attention from governments and the public worldwide. Using the Chinese wind …

A review of PV power forecasting using machine learning techniques

M Gupta, A Arya, U Varshney, J Mittal… - Progress in Engineering …, 2025 - Elsevier
This paper reviews the application of Machine Learning (ML) techniques in Photovoltaic
(PV) power forecasting. As solar energy becomes a prominent renewable energy source …