A new approach for interval forecasting of photovoltaic power based on generalized weather classification-Reference-Cited by-同舟云学术

A new approach for interval forecasting of photovoltaic power based on generalized weather classification

Published:2018-12-21 Issue:4 Volume:29 Page:e2802
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Guo Jun¹²^ORCID,Xu Xunjian¹²,Lian Weiwei³,Zhu Honglu³⁴⁵^ORCID

Affiliation:

1. State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment Longhua Road Changsha 410129 China

2. State Grid Hunan Electric Power Company Limited Disaster prevention and reduction center Longhua Road Changsha 410129 China

3. The School of Renewable EnergyNorth China Electric Power University Changping District Beijing 102206 China

4. The State Key Laboratory of Alternate Electrical Power System with Renewable Energy SourcesNorth China Electric Power University Changping District Beijing 102206 China

5. The Beijing Key Laboratory of New and Renewable EnergyNorth China Electric Power University Changping District Beijing 102206 China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/etep.2802

Reference28 articles.

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3. An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data

4. Solar Power Prediction Based on Satellite Images and Support Vector Machine

5. Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network

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