[HTML][HTML] Assessment of critical parameters for artificial neural networks based short-term wind generation forecasting

VN Sewdien, R Preece, JLR Torres, E Rakhshani… - Renewable Energy, 2020 - Elsevier
Participation of wind energy in the generation portfolio of power systems is increasing,
making it more challenging for system operators to adequately maintain system security. It …

[PDF][PDF] Improving short-term wind power prediction with neural network and ica algorithm and input feature selection

E Imaie, A Sheikholeslami… - Journal of Advances in …, 2014 - jacr.sari.iau.ir
According to this fact that wind is now a part of global energy portfolio and due to unreliable
and discontinuous production of wind energy; prediction of wind power value is proposed as …

An enhancement of agent-based power supply-demand matching by using ann-based forecaster

MNI Maruf, LAH Munoz, PH Nguyen… - IEEE PES ISGT …, 2013 - ieeexplore.ieee.org
Local supply-demand matching in power grids by means of advanced information and
communication technology (ICT) is emerging due to the increasing integration of distributed …

A novel hybrid metaheuristic optimization method to estimate medium-term output power for horizontal axis wind turbine

F Ekinci, T Demirdelen, IO Aksu… - Proceedings of the …, 2019 - journals.sagepub.com
The increasing damage caused by fossil fuels has made it a necessity for new and clean
energy sources. In recent years, the use of wind energy from renewable energy sources has …

An intelligent method for wind power forecasting based on integrated power slope events prediction and wind speed forecasting

F Li, H Liao - IEEJ Transactions on Electrical and Electronic …, 2018 - Wiley Online Library
In this paper, we study an intelligent wind power prediction method by taking the prediction
time horizons and prediction accuracy into account. The wind power slope events are …

Performance Evaluation of Neural Network Techniques for Short-Range Wind Energy Estimation

AG Ameen, S Mohamed… - … Middle East Power …, 2023 - ieeexplore.ieee.org
Several countries all over the world are experiencing major consequences for the
environment, and the most viable approach for mitigating these is the consumption of …

Predictive energy management, control and communication system for grid tied wind energy conversion systems

IM Syed, K Raahemifar - Electric Power Systems Research, 2017 - Elsevier
This paper presents forecast-based predictive energy management, control and
communication system (PEMCCS) for grid tied (GT) wind energy conversion system (WECS) …

Short-Term Wind Power Forecasting Using Structured Neural Network

KA Abesamis, P Ang, FI Bisquera… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
The effect of global warming are being experienced more and more by people now a days.
Leaders are trying to change our dependency on energy into renewable energies. Wind …

Predictive energy management and control for renewable energy plus battery energy storage systems

IM Syed - rshare.library.torontomu.ca
Renewable energy (RE) is one of the solutions to rising energy demands and growing
environmental concerns. However, due to the intrinsic intermittency of RE resources …

Tendencias recientes en el pronóstico de velocidad de viento para generación eólica

FA Avella Rodriguez - 2017 - repositorio.unal.edu.co
Este documento tiene como objetivo presentar un marco unificado para discutir, resumir y
organizar los principales avances en pronóstico de velocidad de viento para generación …