Combined probabilistic forecasting method for photovoltaic power using an improved Markov chain-Reference-Cited by-同舟云学术

Combined probabilistic forecasting method for photovoltaic power using an improved Markov chain

Published:2019-10 Issue:19 Volume:13 Page:4364-4373
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Chen Bo¹²,Li Jinghua¹²

Affiliation:

1. School of Electrical EngineeringGuangxi UniversityNo. 100 Daxuedong East RoadNanningPeople's Republic of China

2. Guangxi Key Laboratory of Power System Optimization and Energy TechnologyGuangxi UniversityNo. 100 Daxuedong East RoadNanningPeople's Republic of China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.6860

Reference32 articles.

1. Statistical scenarios forecasting method for wind power ramp events using modified neural networks

2. A review of researches on wind power forecasting technology;Li J.H.;Modern Electr. Power,2017

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

4. Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines

5. Development of a Markov-Chain-Based Energy Storage Model for Power Supply Availability Assessment of Photovoltaic Generation Plants

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short‐term power prediction of distributed PV based on multi‐scale feature fusion with TPE‐CBiGRU‐SCA;IET Generation, Transmission & Distribution;2024-09-14

2. Solar photovoltaic power forecasting system with online manner based on adaptive mode decomposition and multi-objective optimization;Computers and Electrical Engineering;2024-09

3. Genetic Taboo Search Algorithm Optimized TCN-LSTM for Ultra-short-term Photovoltaic Power Prediction;2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET);2024-05-17

4. Enhancing One-Day-Ahead Probabilistic Solar Power Forecast With a Hybrid Transformer-LUBE Model and Missing Data Imputation;IEEE Transactions on Industry Applications;2024-01

5. Short-Term Photovoltaic Power Forecasting Using Ssa-Based Informer Combined with Fcm-Based Similar Day Selection and Mrsvd-Vmd Decomposition;2024