Open AccessA Multi-Weight Optimization Based Prediction Method for Distributed Generation
Author(s) -
Yushu Zhang,
Haoran Deng,
Bing Heng Qin,
Jingyan Liu,
Pu Zhang,
Bin Huang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/486/1/012059
Subject(s) - computer science , distributed generation , development (topology) , order (exchange) , photovoltaic system , distributed computing , engineering , mathematics , renewable energy , mathematical analysis , electrical engineering , finance , economics
The development of distributed generation will be affected by the policy, and become more market-oriented. The impact factors of the future layout are various. In order to accurately predict the future layout of distributed generation and guide the planning, this paper presents a layout prediction method for distributed generation by multi-weight optimization. The method takes different impact factors into consideration and use the historical data to determine the weights of the factors with optimization method. The method can predict distributed generation layout in the target year accurately. The case of the distributed photovoltaic development in Shandong shows that the central region will become the main development region.