Heuristic grey-box modelling for photovoltaic power systems-Reference-Cited by-同舟云学术

Heuristic grey-box modelling for photovoltaic power systems

Published:2016-01-01 Issue:1 Volume:4 Page:235-246
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Al-Messabi Naji¹²,Goh Cindy¹,Li Yun¹³

Affiliation:

1. School of Engineering, University of Glasgow, Glasgow, UK

2. Abu Dhabi Transmission and Despatch Company (TRANSCO), Abu Dhabi, UAE

3. College of Computer Science and Technology, Dongguan University of Technology, Dongguan, People’s Republic of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2016.1228485

Reference37 articles.

1. 10MW solar power plant, enviromena power systems report. (2014). Retrieved from http://enviromena.com/2015/wp-content/uploads/2014/01/10MW-Masdar_PD_2013-WEB.pdf

2. Al-Messabi, N., Li, Y., El-Amin, I. & Goh, C. (2012, June 10–15). Forecasting of photovoltaic power yield using dynamic neural networks. In The 2012 international joint conference on neural networks (IJCNN) (pp. 1–5).

3. Online short-term solar power forecasting

4. Forecasting power output of PV grid connected system in Thailand without using solar radiation measurement

Cited by 4 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. Two-level reconfiguration algorithm of branch exchange and variable neighbourhood search for active distribution network;Systems Science & Control Engineering;2018-09-21

2. Voltage Stability Prediction Using Active Machine Learning;IEEE Transactions on Smart Grid;2017-11

3. Prediction in Photovoltaic Power by Neural Networks;Energies;2017-07-15

4. Modeling of photovoltaic modules using a gray-box neural network approach;Thermal Science;2017