Deep Learning in Economic Load Dispatch with Short-Term Wind Power

2020 IEEE International Systems Conference (SysCon) ◽

10.1109/syscon47679.2020.9275916 ◽

2020 ◽

Author(s):

Xian Liu

Keyword(s):

Deep Learning ◽

Economic Load Dispatch ◽

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An Ensemble Model for Short-Term Wind Power Forecasting using Deep Learning and Gradient Boosting Algorithms

2020 21st National Power Systems Conference (NPSC) ◽

10.1109/npsc49263.2020.9331902 ◽

2020 ◽

Author(s):

Devesh Kumar ◽

Rishabh Abhinav ◽

Naran Pindoriya

Keyword(s):

Deep Learning ◽

Gradient Boosting ◽

Ensemble Model ◽

Wind Power Forecasting ◽

Boosting Algorithms ◽

Power Forecasting

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Very short-term forecasting of wind power generation using hybrid deep learning model

Journal of Cleaner Production ◽

10.1016/j.jclepro.2021.126564 ◽

2021 ◽

Vol 296 ◽

pp. 126564

Author(s):

Md Alamgir Hossain ◽

Ripon K. Chakrabortty ◽

Sondoss Elsawah ◽

Michael J. Ryan

Keyword(s):

Power Generation ◽

Deep Learning ◽

Learning Model ◽

Wind Power Generation ◽

Short Term Forecasting ◽

Deep Learning Model

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Deep Learning Ensemble Based New Approach for Very Short-Term Wind Power Forecasting

2020 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm41954.2020.9281473 ◽

2020 ◽

Author(s):

Dan A. Rosa de Jesus ◽

Paras Mandal ◽

Yuan-Kang Wu ◽

Tomonobu Senjyu

Keyword(s):

Deep Learning ◽

New Approach ◽

Wind Power Forecasting ◽

Power Forecasting

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Short-term Wind Power Prediction Based on Wavelet Feature Arrangement and Convolutional Neural Networks Deep Learning

IEEE Transactions on Industry Applications ◽

10.1109/tia.2021.3106887 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaosheng Peng ◽

Yinhuan Li ◽

Lei Dong ◽

Kai Cheng ◽

Hongyu Wang ◽

...

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Convolutional Neural Networks ◽

Power Prediction ◽

Wind Power Prediction

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Short-Term Wind Power Forecasting Based on CEEMD and Deep Learning Model

10.12677/sg.2021.114028 ◽

2021 ◽

Vol 11 (04) ◽

pp. 297-304

Author(s):

一民帅

Keyword(s):

Deep Learning ◽

Learning Model ◽

Wind Power Forecasting ◽

Deep Learning Model ◽

Power Forecasting

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Very short-term spatial and temporal wind power forecasting: A deep learning approach

CSEE Journal of Power and Energy Systems ◽

10.17775/cseejpes.2018.00010 ◽

2019 ◽

Keyword(s):

Deep Learning ◽

Learning Approach ◽

Wind Power Forecasting ◽

Power Forecasting

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Deep Learning Approach with Optimizatized Hidden-Layers Topology for Short-Term Wind Power Forecasting

Energy Engineering ◽

10.32604/ee.2020.011619 ◽

2020 ◽

Vol 117 (5) ◽

pp. 279-287

Author(s):

Xing Deng ◽

Haijian Shao

Keyword(s):

Deep Learning ◽

Learning Approach ◽

Wind Power Forecasting ◽

Power Forecasting

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Forecasting very short-term wind power generation using deep learning, optimization and data decomposition techniques

10.23919/icems52562.2021.9634361 ◽

2021 ◽

Author(s):

Md Alamgir Hossain ◽

Evan MacA. Gray ◽

Md Rabiul Islam ◽

Ripon K. Chakrabortty ◽

Hemanshu R. Pota

Keyword(s):

Power Generation ◽

Deep Learning ◽

Wind Power Generation ◽

Decomposition Techniques ◽

Data Decomposition

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Short-Term Forecasting and Uncertainty Analysis for Wind Power Generation Based on Hybrid Deep Learning and Cloud Model

SSRN Electronic Journal ◽

10.2139/ssrn.3900344 ◽

2021 ◽

Author(s):

Tianren Zhang ◽

Yuping Huang ◽

Bo Gu ◽

Hui Liao ◽

Chenxi Song

Keyword(s):

Power Generation ◽

Deep Learning ◽

Uncertainty Analysis ◽

Cloud Model ◽

Wind Power Generation ◽

Short Term Forecasting

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A Three-Stage Ensemble Short-Term Wind Power Prediction Method Based on VMD-WT Transform and SDAE Deep Learning

2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) ◽

10.1109/icpsasia48933.2020.9208460 ◽

2020 ◽

Author(s):

Peng Xiaosheng ◽

Zhang Zuowei ◽

Xu Qiyou ◽

Wang Bo ◽

Che Jianfeng ◽

...

Keyword(s):

Deep Learning ◽

Prediction Method ◽

Power Prediction ◽

Wind Power Prediction

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