Adaptive real-time optimal energy management strategy based on equivalent factors optimization for hybrid fuel cell system

H Gao, Z Wang, S Yin, J Lu, Z Guo, W Ma - International Journal of …, 2021 - Elsevier
Fuel cell, a new kind of energy supply equipment, has several advantages such as high
efficiency, low noise, and no emission. Proton exchange membrane fuel cell (PEMFC) is …

A novel optimal energy management strategy for offshore wind/marine current/battery/ultracapacitor hybrid renewable energy system

A Aktaş, Y Kırçiçek - Energy, 2020 - Elsevier
Climate change and high energy demand have significantly increased the need for
renewable energy sources (RES). Marine and ocean energy sources draw attention through …

Role of machine learning algorithms for wind power generation prediction in renewable energy management

T Anushalini, B Sri Revathi - IETE Journal of Research, 2024 - Taylor & Francis
The electrical energy demand is growing every day. Fossil fuel-based electrical power
generation pollutes the environment. So, to fulfil the electrical energy demand, clean …

A new integrated regulation strategy and modelling for wind turbine with battery energy storage system

Y Song, M Du, W Zhao, H Lin - Journal of Energy Storage, 2023 - Elsevier
Recent decades have seen a great penetration of renewable energy in electricity supply
market. However, the intermittency of wind energy requires careful control of wind turbine …

Data driven battery anomaly detection based on shape based clustering for the data centers class

SN Haider, Q Zhao, X Li - Journal of Energy Storage, 2020 - Elsevier
Batteries are a significant part of data centers, which ensure the uninterrupted working of a
data center. Using online measurement to find out odd batteries in data centers is …

Multi-objective optimization of hybrid energy management system for expressway chargers

P Zheng, Z Fang, H Li, Y Pan, D Luo, Z Zhang - Journal of Energy Storage, 2022 - Elsevier
Fuel combustion is considered a vast energy source for transportation, resulting in the
emission of pollutants into the environment. In contrast, electric vehicles (EVs) do not emit …

The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables

AAM Ahmed, SJJ Jui, MAI Chowdhury… - … Science and Pollution …, 2023 - Springer
Dissolved oxygen (DO) forecasting is essential for aquatic managers responsible for
maintaining ecosystem health and the management of water bodies affected by water …

[PDF][PDF] Research on Battery Characteristics and Management System of New Energy Vehicle Based on BMS System Design and Test

H Bai, Y Fan, L Wang, NVT Vo… - Comput. Aided Des …, 2023 - cad-journal.net
The use of green energy is becoming increasingly important in today's society. As a result,
electric vehicles are presently the most eco-friendly means of public and personal mobility …

Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network

F Yuan, M Tang, J Hong - Engineering, construction and architectural …, 2020 - emerald.com
Purpose The objective of this study is to evaluate the overall technical efficiency, labor
efficiency, capital efficiency and equipment efficiency of 30 Chinese construction sectors to …

Bi-level optimal configuration of hybrid shared energy storage capacity in wind farms considering prediction error

Y Bian, P Lu, L Xie, J Ye, L Ma… - CSEE Journal of Power …, 2024 - ieeexplore.ieee.org
In wind farms, hybrid energy storage (HES) can effectively mitigate the fluctuation and
intermittency of wind power output and effectively compensate for the prediction errors of …