E3S Web Conf.
Volume 257, 20215th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|Number of page(s)||6|
|Section||Environmental Monitoring Repair and Pollution Control|
|Published online||12 May 2021|
Prediction of water-light output in water-light complementary systems
College of Energy and Electrical Engineering, Hohai University, Nanjing, Jiangsu, 211100, China
a Yan, Tian Xiao, email@example.com
b Fan Hui Ying, firstname.lastname@example.org
c* Corresponding author: Guo, Su,: email@example.com
With the increasing demand of electricity consumption for social development, China has vigorously promoted the development of renewable energy such as wind and solar energy in recent years. Since photovoltaic power generation has the characteristics of randomness, intermittency and volatility, which are not conducive to dispatching and grid-connection, and hydroelectric power generation has the characteristics of fast start-up and good peak adjustment, etc. Therefore, through the study of multiple linear regression model neural network prediction model Markov chain and other methods, the hydraulic resource output prediction model and photovoltaic resource output prediction model are built. The combination of the two can be used to predict the output of water and light resources more accurately and promote the development of water and light complementary industry in China. At present, there are few researches on the coupling of hydroelectric output and photovoltaic output at home and abroad. In this paper, the prediction of water-light output in water-light complementary systems by other scholars is reviewed.
© The Authors, published by EDP Sciences, 2021
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