Gaussian mixture model-based neural network for short-term wind power forecast
Author:
Affiliation:
1. Department of Electrical Engineering; National Chung Cheng University; Chiayi Taiwan
2. Institute of Nuclear Energy Research; Taoyuan Taiwan
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Reference26 articles.
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3. Wind Power in Power Systems
4. Analysis and application of forecasting models in wind power integration: a review of multi-step-ahead wind speed forecasting models;Wang;Renew Sust Energ Rev,2016
5. A review of wind power and wind speed forecasting methods with different time horizons;Soman;North American Power Symposium (NAPS),2010
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