Wind power forecast using neural networks: Tuning with optimization techniques and error analysis
Author:
Affiliation:
1. IST—Instituto Superior TécnicoUniversity of Lisbon Lisbon Portugal
2. INESC‐ID/ISTUniversity of Lisbon Lisbon Portugal
3. School of Sciences and EngineeringSão Paulo State University (UNESP) São Paulo Brazil
Funder
Fundação para a Ciência e a Tecnologia
Publisher
Wiley
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/we.2460
Reference20 articles.
1. A comparison of various forecasting techniques applied to mean hourly wind speed time series
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3. Bashir Z.A. El‐Hawary M.E.“Short‐term load forecasting using artificial neural network based on particle swarm optimization algorithm”.2007Canadian Conference on Electrical and Computer Engineering 2007.
4. Forecasting aggregated wind power production of multiple wind farms using hybrid wavelet-PSO-NNs
5. Short-term wind power forecasting in Portugal by neural networks and wavelet transform
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