An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

Applied Energy ◽

10.1016/j.apenergy.2021.118473 ◽

2022 ◽

Vol 309 ◽

pp. 118473

Author(s):

Georgios Mitrentsis ◽

Hendrik Lens

Keyword(s):

Probabilistic Model ◽

Solar Power ◽

Gradient Boosting ◽

Natural Gradient ◽

Solar Power Forecasting ◽

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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Generalized neural network methodology for short term solar power forecasting

2013 13th International Conference on Environment and Electrical Engineering (EEEIC) ◽

10.1109/eeeic-2.2013.6737883 ◽

2013 ◽

Author(s):

Vikas Pratap Singh ◽

Vivek Vijay ◽

M. Siddhartha Bhatt ◽

D. K. Chaturvedi

Keyword(s):

Neural Network ◽

Solar Power ◽

Solar Power Forecasting ◽

Power Forecasting

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Short-term solar power forecasting based on satellite images

Renewable Energy Forecasting ◽

10.1016/b978-0-08-100504-0.00006-8 ◽

2017 ◽

pp. 179-198 ◽

Author(s):

Philippe Blanc ◽

Jan Remund ◽

Loïc Vallance

Keyword(s):

Satellite Images ◽

Solar Power ◽

Solar Power Forecasting ◽

Power Forecasting

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Short-term solar power forecasting using satellite images

International Journal of Powertrains ◽

10.1504/ijpt.2021.117457 ◽

2021 ◽

Vol 10 (2) ◽

pp. 125

Author(s):

A. Shobana Devi ◽

G. Maragatham ◽

K. Boopathi ◽

M.R. Prabu

Keyword(s):

Satellite Images ◽

Solar Power ◽

Solar Power Forecasting ◽

Power Forecasting

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A Framework of Using Machine Learning Approaches for Short-Term Solar Power Forecasting

Journal of Electrical Engineering and Technology ◽

10.1007/s42835-020-00346-4 ◽

2020 ◽

Vol 15 (2) ◽

pp. 561-569 ◽

Author(s):

Usman Munawar ◽

Zhanle Wang

Keyword(s):

Machine Learning ◽

Solar Power ◽

Learning Approaches ◽

Solar Power Forecasting ◽

Power Forecasting

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A semi-empirical approach using gradient boosting and k-nearest neighbors regression for GEFCom2014 probabilistic solar power forecasting

International Journal of Forecasting ◽

10.1016/j.ijforecast.2015.11.002 ◽

2016 ◽

Vol 32 (3) ◽

pp. 1081-1086 ◽

Author(s):

Jing Huang ◽

Matthew Perry

Keyword(s):

Solar Power ◽

Nearest Neighbors ◽

Empirical Approach ◽

Gradient Boosting ◽

K Nearest Neighbors ◽

Semi Empirical ◽

Solar Power Forecasting ◽

Power Forecasting

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Short-Term Solar Power Forecasting Using the Adaptive Network-Based Fuzzy Inference System

Proceedings of the International Conference on Chemical,Material and Food Engineering ◽

10.2991/cmfe-15.2015.152 ◽

2015 ◽

Author(s):

Wen-Yeau Chang ◽

Ho-Chian Miao

Keyword(s):

Fuzzy Inference System ◽

Solar Power ◽

Fuzzy Inference ◽

Adaptive Network ◽

Inference System ◽

Solar Power Forecasting ◽

Power Forecasting

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Online short-term solar power forecasting

Solar Energy ◽

10.1016/j.solener.2009.05.016 ◽

2009 ◽

Vol 83 (10) ◽

pp. 1772-1783 ◽

Author(s):

Peder Bacher ◽

Henrik Madsen ◽

Henrik Aalborg Nielsen

Keyword(s):

Solar Power ◽

Solar Power Forecasting ◽

Power Forecasting

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Short-term Solar Power Forecasting Using XGBoost with Numerical Weather Prediction

10.1109/ifeec53238.2021.9661874 ◽

2021 ◽

Author(s):

Quoc-Thang Phan ◽

Yuan-Kang Wu ◽

Quoc-Dung Phan

Keyword(s):

Numerical Weather Prediction ◽

Solar Power ◽

Weather Prediction ◽

Numerical Weather ◽

Solar Power Forecasting ◽

Power Forecasting

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An Optimizing Method Based On Combining Edge Computer And Long Short-Term Memory Networks Applied To Solar Power Forecasting

10.1109/ifeec53238.2021.9661669 ◽

2021 ◽

Author(s):

Minh-Ngoc Nguyen ◽

Manh-Hai Pham ◽

Yuan-Kang Wu ◽

Ngoc-Trung Nguyen

Keyword(s):

Solar Power ◽

Short Term Memory ◽

Term Memory ◽

Long Short Term Memory ◽

Solar Power Forecasting ◽

Power Forecasting

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