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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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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Short‐term wind speed multistep combined forecasting model based on two‐stage decomposition and LSTM

Wind Energy ◽

10.1002/we.2613 ◽

2021 ◽

Author(s):

Xuechao Liao ◽

Zhenxing Liu ◽

Wanxiong Deng

Keyword(s):

Forecasting Model ◽

Two Stage ◽

Model Based ◽

Combined Forecasting

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Comparative Studies of Different Methods for Short-term Locational Marginal Price Forecasting

2020 5th International Conference on Green Technology and Sustainable Development (GTSD) ◽

10.1109/gtsd50082.2020.9303121 ◽

2020 ◽

Author(s):

Ying-Yi Hong ◽

Rolando Pula

Keyword(s):

Comparative Studies ◽

Price Forecasting ◽

Locational Marginal Price ◽

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Short-term Photovoltaic Power Forecasting Model Based on Improved BP Neural Network Method

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) ◽

10.1109/ei250167.2020.9346675 ◽

2020 ◽

Author(s):

Yuan Peng ◽

Suhua Lou ◽

Senlin Yang ◽

Yaowu Wu ◽

Xianglu He ◽

...

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Forecasting Model ◽

Neural Network Method ◽

Model Based ◽

Photovoltaic Power ◽

Network Method ◽

Power Forecasting

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A Short-Term Load Forecasting Model Based on Improved Random Forest Algorithm

2020 7th International Forum on Electrical Engineering and Automation (IFEEA) ◽

10.1109/ifeea51475.2020.00195 ◽

2020 ◽

Author(s):

Huang Yiling ◽

Huang Shaofeng

Keyword(s):

Random Forest ◽

Load Forecasting ◽

Forecasting Model ◽

Random Forest Algorithm ◽

Model Based ◽

Short Term Load Forecasting

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Electricity demand and price forecasting model for sustainable smart grid using comprehensive long short term memory

International Journal of Sustainable Engineering ◽

10.1080/19397038.2021.1951882 ◽

2021 ◽

pp. 1-19

Author(s):

Israt Fatema ◽

Xiaoying Kong ◽

Gengfa Fang

Keyword(s):

Short Term Memory ◽

Electricity Demand ◽

Forecasting Model ◽

Price Forecasting ◽

Term Memory ◽

Long Short Term Memory

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Algorithm Optimization of Short-Term Load Forecasting Model Based on Least Square Support Vector Machine

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-76346-6_26 ◽

2021 ◽

pp. 279-287

Author(s):

Yuh-Chung Lin ◽

Shusen Kuang ◽

Kuo-Chi Chang ◽

Hui-Qiong Deng ◽

Fu-Hsiang Chang ◽

...

Keyword(s):

Support Vector Machine ◽

Load Forecasting ◽

Least Square ◽

Support Vector ◽

Forecasting Model ◽

Algorithm Optimization ◽

Model Based ◽

Short Term Load Forecasting

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Short-Term Power Load Forecasting Model Based on Fuzzy Neural Network using Improved Decision Tree

2019 IEEE Sustainable Power and Energy Conference (iSPEC) ◽

10.1109/ispec48194.2019.8975070 ◽

2019 ◽

Author(s):

Zhenxue Xie ◽

Ruogu Wang ◽

Zihao Wu ◽

Tong Liu

Keyword(s):

Neural Network ◽

Decision Tree ◽

Fuzzy Neural Network ◽

Load Forecasting ◽

Forecasting Model ◽

Model Based ◽

Power Load Forecasting ◽

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Short-term Load Forecasting Model Based on Attention Mechanism and Gated Recurrent Unit

2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP) ◽

10.1109/apap47170.2019.9225191 ◽

2019 ◽

Author(s):

Song Liu ◽

Pin Lv

Keyword(s):

Load Forecasting ◽

Attention Mechanism ◽

Forecasting Model ◽

Model Based ◽

Short Term Load Forecasting ◽

Gated Recurrent Unit

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The importance of short lag-time in the runoff forecasting model based on long short-term memory

Journal of Hydrology ◽

10.1016/j.jhydrol.2020.125359 ◽

2020 ◽

Vol 589 ◽

pp. 125359

Author(s):

Xi Chen ◽

Jiaxu Huang ◽

Zhen Han ◽

Hongkai Gao ◽

Min Liu ◽

...

Keyword(s):

Short Term Memory ◽

Lag Time ◽

Forecasting Model ◽

Term Memory ◽

Model Based ◽

Runoff Forecasting ◽

Long Short Term Memory

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