Solar Radiation Intensity Probabilistic Forecasting Based on K-Means Time Series Clustering and Gaussian Process Regression

Solar Radiation Intensity Probabilistic Forecasting Based on K-Means Time Series Clustering and Gaussian Process Regression

Solar radiation intensity is intermittent and uncertain under the influence of meteorological conditions. Clustering them and obtaining high-precision and reliable probabilistic forecasting results play a vital role in the planning and management of solar power. In this study, a novel K-means time s...

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Bibliographic Details
Main Authors: Zhendong Zhang, Chao Wang, Xiaosheng Peng, Hui Qin, Hao Lv, Jialong Fu, Hongyu Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Solar radiation intensity
K-means time series clustering
probabilistic forecasting
Gaussian process regression
Online Access:https://ieeexplore.ieee.org/document/9422819/

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