Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting
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Title
Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting
Authors
Keywords
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Journal
Entropy
Volume 19, Issue 2, Pages 52
Publisher
MDPI AG
Online
2017-01-25
DOI
10.3390/e19020052
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- (2016) Liye Xiao et al. APPLIED ENERGY
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- (2016) Huiru Zhao et al. Applied Sciences-Basel
- Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm
- (2015) Rong Chen et al. APPLIED SOFT COMPUTING
- Error analysis of hybrid photovoltaic power forecasting models: A case study of mediterranean climate
- (2015) Maria Grazia De Giorgi et al. ENERGY CONVERSION AND MANAGEMENT
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- (2014) Gwo-Ching Liao INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
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- (2014) Wei Ming et al. TheScientificWorldJOURNAL
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- (2013) Fuh-Yuh Ju et al. APPLIED MATHEMATICAL MODELLING
- Application of a hybrid quantized Elman neural network in short-term load forecasting
- (2013) Penghua Li et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting
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- A hybrid forecasting approach applied to wind speed time series
- (2013) Jianming Hu et al. RENEWABLE ENERGY
- Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China
- (2012) Yuanyuan Wang et al. ENERGY POLICY
- A wavelet Elman neural network for short-term electrical load prediction under the influence of temperature
- (2012) Sanjay Kelo et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Stochastic prediction of fatigue loading using real-time monitoring data
- (2011) You Ling et al. INTERNATIONAL JOURNAL OF FATIGUE
- Wisdom of group forecasts: Does role-playing play a role?
- (2011) Dilek Önkal et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Influence of the input layer signals of ANNs on wind power estimation for a target site: A case study
- (2011) Sergio Velázquez et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Short-term load forecasting using lifting scheme and ARIMA models
- (2010) Cheng-Ming Lee et al. EXPERT SYSTEMS WITH APPLICATIONS
- Electricity demand load forecasting of the Hellenic power system using an ARMA model
- (2009) S.Sp. Pappas et al. ELECTRIC POWER SYSTEMS RESEARCH
- Electric load forecasting by support vector model
- (2008) Wei-Chiang Hong APPLIED MATHEMATICAL MODELLING
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