Open AccessResearch on Comprehensive Benefit Post Evaluation of Photovoltaic Poverty Alleviation Projects Based on FCM and SVM
Author(s) -
Ding Liu,
Gege Li,
Wei Zeng,
Min Sun,
Cunbin Li
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/281/1/012034
Subject(s) - photovoltaic system , poverty , cluster analysis , environmental economics , fuzzy logic , index (typography) , computer science , mode (computer interface) , support vector machine , sustainable development , china , renewable energy , business , engineering , economic growth , economics , artificial intelligence , political science , world wide web , law , electrical engineering , operating system
Photovoltaic (PV) Poverty Alleviation makes full use of the solar energy in poverty-stricken areas so as to achieve sTable incomes increase for the poor households for 25 years. It is an advanced mode integrating new energy development, emission reduction and accurate poverty alleviation. Post evaluation of PV poverty alleviation project is of great guiding significance for new energy development planning, poverty alleviation promoting and construction and operation of PV power stations. Under the guidance of the practical experience of PV poverty alleviation in Jiangxi province, China, this paper firstly builds a comprehensive evaluation index system with 7 second-level targets based on the post evaluation theory. Then, considering that projects with different sizes, construction and operation mode have different features in the evaluation, this paper uses pattern recognition method based on fuzzy C-means clustering algorithm and support vector machine to classify the projects. Then comparative analysis is carried out within each class to achieve comprehensive benefits evaluation. The method can reduce the information loss of multi-index weighted aggregation of traditional post evaluation methods. The features of PV poverty alleviation projects are highlighted to help to find the weak points of the projects. So the evaluation results are more scientific and reasonable.