A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting

Energy ◽

10.1016/j.energy.2018.05.146 ◽

2018 ◽

Vol 157 ◽

pp. 526-538 ◽

Author(s):

Ling Tang ◽

Yao Wu ◽

Lean Yu

Keyword(s):

Ensemble Learning ◽

Randomized Algorithm ◽

Energy Price ◽

Price Forecasting

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Daily Energy Price Forecasting Using a Polynomial NARMAX Model

Advances in Intelligent Systems and Computing - Advances in Computational Intelligence Systems ◽

10.1007/978-3-319-97982-3_6 ◽

2018 ◽

pp. 71-82 ◽

Author(s):

Catherine McHugh ◽

Sonya Coleman ◽

Dermot Kerr ◽

Daniel McGlynn

Keyword(s):

Energy Price ◽

Price Forecasting ◽

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Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification

Neurocomputing ◽

10.1016/j.neucom.2014.12.052 ◽

2015 ◽

Vol 156 ◽

pp. 268-279 ◽

Author(s):

Karol Lina López ◽

Christian Gagné ◽

Germán Castellanos-Dominguez ◽

Mauricio Orozco-Alzate

Keyword(s):

Time Series ◽

Subset Selection ◽

Energy Price ◽

Price Forecasting ◽

Time Series Clustering ◽

Training Subset

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An EMD-Based Neural Network Ensemble Learning Model for World Crude Oil Spot Price Forecasting

Soft Computing Applications in Business - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-79005-1_14 ◽

2008 ◽

pp. 261-271 ◽

Author(s):

Lean Yu ◽

Shouyang Wang ◽

Kin Keung Lai

Keyword(s):

Neural Network ◽

Crude Oil ◽

Ensemble Learning ◽

Learning Model ◽

Price Forecasting ◽

Neural Network Ensemble

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Segment-based ensemble learning model for stock price forecasting

10.1109/iccasit53235.2021.9633358 ◽

2021 ◽

Author(s):

Minghang Du

Keyword(s):

Ensemble Learning ◽

Stock Price ◽

Learning Model ◽

Price Forecasting ◽

Stock Price Forecasting

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Short term electricity price forecasting using a new hybrid model based on two-layer decomposition technique and ensemble learning

Electric Power Systems Research ◽

10.1016/j.epsr.2021.107762 ◽

2022 ◽

Vol 205 ◽

pp. 107762

Author(s):

Tingting Zhang ◽

Zhenpeng Tang ◽

Junchuan Wu ◽

Xiaoxu Du ◽

Kaijie Chen

Keyword(s):

Ensemble Learning ◽

Hybrid Model ◽

Electricity Price ◽

Price Forecasting ◽

Decomposition Technique ◽

Model Based ◽

Electricity Price Forecasting

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Energy price forecasting and bidding strategy in the Ontario power system market

2005 IEEE Russia Power Tech ◽

10.1109/ptc.2005.4524367 ◽

2005 ◽

Author(s):

George J. Anders ◽

Claudia Rodriguez

Keyword(s):

Power System ◽

Bidding Strategy ◽

Energy Price ◽

Price Forecasting ◽

Power System Market

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A short-term marginal price forecasting model based on ensemble learning

2017 International Conference on Progress in Informatics and Computing (PIC) ◽

10.1109/pic.2017.8359519 ◽

2017 ◽

Author(s):

Kejia Pan ◽

Wenbin Shi ◽

Xin Wang ◽

Jiazhou Li

Keyword(s):

Ensemble Learning ◽

Forecasting Model ◽

Price Forecasting ◽

Model Based ◽

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Evolutionary extreme learning machine for energy price forecasting

International Journal of Knowledge-based and Intelligent Engineering Systems ◽

10.3233/kes-160331 ◽

2016 ◽

Vol 20 (2) ◽

pp. 75-96 ◽

Author(s):

S. Chakravarty ◽

P. Mohapatra ◽

P.K. Dash

Keyword(s):

Extreme Learning Machine ◽

Energy Price ◽

Price Forecasting ◽

Learning Machine

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A hybrid intelligent algorithm for short-term energy price forecasting in the Ontario market

2012 IEEE Power and Energy Society General Meeting ◽

10.1109/pesgm.2012.6345461 ◽

2012 ◽

Author(s):

P. Mandal ◽

A. U. Haque ◽

Julian Meng ◽

R. Martinez ◽

A. K. Srivastava

Keyword(s):

Energy Price ◽

Price Forecasting ◽

Intelligent Algorithm ◽

Hybrid Intelligent Algorithm ◽

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ELECTRIC ENERGY PRICE FORECASTING: DESCRIPTIVE ANALYSIS AND FEATURES SELECTION

International Journal of Pure and Apllied Mathematics ◽

10.12732/ijpam.v117i1.15 ◽

2018 ◽

Vol 117 (1) ◽

Author(s):

M.T. Grifa

Keyword(s):

Descriptive Analysis ◽

Electric Energy ◽

Energy Price ◽

Price Forecasting ◽

Features Selection

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