A New Prediction Model Based on Cascade NN for Wind Power Prediction
Authors:
- 18 January 2018
- journal article
- research article
- Published by Springer Nature in Computational Economics
- Vol. 53 (3) , 1219-1243
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Application of a new hybrid forecast engine with feature selection algorithm in a power systemInternational Journal of Ambient Energy, 2017
- A new prediction model based on multi-block forecast engine in smart gridJournal of Ambient Intelligence and Humanized Computing, 2017
- Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithmComputational Intelligence, 2017
- Extracting Appropriate Nodal Marginal Prices for All Types of Committed ReserveComputational Economics, 2017
- A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity marketsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2017
- Short-term load forecast of electrical power system by radial basis function neural network and new stochastic search algorithmInternational Transactions on Electrical Energy Systems, 2015
- Hybrid harmony search algorithm and fuzzy mechanism for solving congestion management problem in an electricity marketComplexity, 2015
- Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energy resources using interactive honey bee mating optimizationFrontiers in Energy, 2014
- An Improved RBF Method for Solving Variational Problems Arising from Dynamic Economic ModelsComputational Economics, 2014
- Volatility Forecasting Using Support Vector Regression and a Hybrid Genetic AlgorithmComputational Economics, 2013