Intelligent energy management for micro-grid based on deep learning LSTM prediction model and fuzzy decision-making

D El Bourakadi, A Yahyaouy, J Boumhidi - … Computing: Informatics and …, 2022 - Elsevier
In this paper, we present a new intelligent system based on multi-agent system for energy
management in micro-grid with grid-connected mode and mainly based on wind energy …

Optimum load management strategy for wind/diesel/battery hybrid power systems

JM Lujano-Rojas, C Monteiro, R Dufo-López… - Renewable Energy, 2012 - Elsevier
This paper discusses a novel load management strategy for the optimal use of renewable
energy in systems with wind turbines, a battery bank, and a diesel generator. Using …

Improved extreme learning machine with AutoEncoder and particle swarm optimization for short-term wind power prediction

D El Bourakadi, A Yahyaouy, J Boumhidi - Neural Computing and …, 2022 - Springer
Wind energy is a green source of electricity that is growing faster than other renewable
energies. However, dependent mainly on wind speed, this source is characterized by the …

Offshore wind turbine reliability and operational simulation under uncertainties

CD Dao, B Kazemtabrizi, CJ Crabtree - Wind Energy, 2020 - Wiley Online Library
The fast‐growing offshore wind energy sector brings opportunities to provide a sustainable
energy resource but also challenges in offshore wind turbine (OWT) operation and …

[PDF][PDF] Forecasting Wind Speed in Peninsular Malaysia: An Application of ARIMA and ARIMA-GARCH Models.

NH Hussin, F Yusof, SM Norrulashikin - Pertanika Journal of …, 2021 - 119.40.116.186
In the global energy context, renewable energy sources such as wind is considered as a
credible candidate for meeting new energy demands and partly substituting fossil fuels …

A multimarket decision-making framework for GENCO considering emission trading scheme

XR Li, CW Yu, Z Xu, FJ Luo, ZY Dong… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In a multimarket environment, a GENCO produces electricity subject to a number of factors,
including physical and environmental constraints, together with trading strategies in the …

Multi-agent system based on the extreme learning machine and fuzzy control for intelligent energy management in microgrid

D El Bourakadi, A Yahyaouy… - Journal of Intelligent …, 2019 - degruyter.com
Renewable energies constitute an alternative to fossil energies for several reasons. The
microgrid can be assumed as the ideal way to integrate a renewable energy source in the …

A short term wind speed forcasting using SVR and BP-ANN: A comparative analysis

S Nurunnahar, DB Talukdar, RI Rasel… - … of Computer and …, 2017 - ieeexplore.ieee.org
Forecasting wind speed is a very important part in weather forecasting. Because of the
nonlinear behaviors of nature and climate changes, wind speed prediction becomes a …

Multi-agent system based sequential energy management strategy for Micro-Grid using optimal weighted regularized extreme learning machine and decision tree

D El Bourakadi, A Yahyaouy… - Intelligent Decision …, 2019 - content.iospress.com
Renewable energies are fundamentally changing the traditional power grid. Their
integration in micro grid constitutes the best way to produce clean energy in a large scale …

Applying a splitting technique to estimate electrical grid reliability

W Wadman, D Crommelin… - 2013 Winter Simulations …, 2013 - ieeexplore.ieee.org
As intermittent renewable energy penetrates electrical power grids more and more,
assessing grid reliability is of increasing concern for grid operators. Monte Carlo simulation …