Short-term industrial reactive power forecasting

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2018.11.022 ◽

2019 ◽

Vol 107 ◽

pp. 177-185 ◽

Author(s):

Antonio Bracale ◽

Guido Carpinelli ◽

Pasquale De Falco ◽

Tao Hong

Keyword(s):

Reactive Power ◽

Power Forecasting

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A New Hybrid Frequency Decomposition Algorithm for Short-Term Reactive Power Forecasting

Journal of Physics Conference Series ◽

10.1088/1742-6596/2022/1/012015 ◽

2021 ◽

Vol 2022 (1) ◽

pp. 012015

Author(s):

Mingyu Wu ◽

Changxi Yue ◽

Ying Shi ◽

Jicheng Yu ◽

Fan Sun ◽

...

Keyword(s):

Reactive Power ◽

Decomposition Algorithm ◽

Frequency Decomposition ◽

Hybrid Frequency ◽

Power Forecasting

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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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Short Term Solar Power Forecasting using Hybrid Minimum Variance Expanded RVFLN and Sine-Cosine Levy Flight PSO Algorithm

Renewable Energy ◽

10.1016/j.renene.2021.04.088 ◽

2021 ◽

Author(s):

Deepak Ranjan Das ◽

P.K. Dash ◽

Ranjeeta Bisoi

Keyword(s):

Solar Power ◽

Pso Algorithm ◽

Minimum Variance ◽

Lévy Flight ◽

Levy Flight ◽

Solar Power Forecasting ◽

Power Forecasting

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Short-term Photovoltaic Power Forecasting Based on Improved Firefly Algorithm to optimize support vector machine

2020 International Symposium on Computer, Consumer and Control (IS3C) ◽

10.1109/is3c50286.2020.00095 ◽

2020 ◽

Author(s):

Cyprien Nsengimana ◽

Xiu Jun Shen ◽

XinTong Han ◽

Lingling Li ◽

HaiYu Wang

Keyword(s):

Support Vector Machine ◽

Firefly Algorithm ◽

Support Vector ◽

Photovoltaic Power ◽

Improved Firefly Algorithm ◽

Power Forecasting

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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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Ultra-Short-Term Solar PV Power Forecasting Method Based on Frequency-Domain Decomposition and Deep Learning

2020 IEEE Industry Applications Society Annual Meeting ◽

10.1109/ias44978.2020.9334889 ◽

2020 ◽

Author(s):

Lin Hu ◽

Zhao Zhen ◽

Fei Wang ◽

Gang Qiu ◽

Yu Li ◽

...

Keyword(s):

Deep Learning ◽

Domain Decomposition ◽

Frequency Domain ◽

Solar Pv ◽

Forecasting Method ◽

Frequency Domain Decomposition ◽

Power Forecasting

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Very-short term wind power forecasting through Adaptive Wavelet Neural Network

2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE) ◽

10.1109/pestse.2016.7516513 ◽

2016 ◽

Author(s):

M. Nandana Jyothi ◽

P.V. Ramana Rao

Keyword(s):

Neural Network ◽

Wavelet Neural Network ◽

Adaptive Wavelet ◽

Wind Power Forecasting ◽

Power Forecasting

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Scheduling of dynamic electric loads using energy storage and short term power forecasting

2016 IEEE Conference on Control Applications (CCA) ◽

10.1109/cca.2016.7588018 ◽

2016 ◽

Author(s):

Raymond A. de Callafon ◽

Abdulelah H. Habib ◽

Jan Kleissl

Keyword(s):

Energy Storage ◽

Electric Loads ◽

Power Forecasting

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A novel ultra-short term wind power forecasting intelligence system based on hybrid neural network

Materials Today Proceedings ◽

10.1016/j.matpr.2021.07.336 ◽

2021 ◽

Author(s):

R. Kaja Bantha Navas ◽

S. Prakash

Keyword(s):

Neural Network ◽

Hybrid Neural Network ◽

Wind Power Forecasting ◽

Intelligence System ◽

Power Forecasting

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A hybrid ANN/GA/ANFIS model for very short-term PV power forecasting

2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) ◽

10.1109/cpe.2017.7915207 ◽

2017 ◽

Author(s):

Ioannis P. Panapakidis ◽

Georgios C. Christoforidis

Keyword(s):

Anfis Model ◽

Power Forecasting

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