Open AccessCapacity Credit Algorithm and Index of the New Energy of Wind Energy and Solar Energy based on Big Data
Author(s) -
Wei Wang,
Wenwu Zhu,
Cheng Hong,
Naixue Xiong,
Liping Peng,
Yifan Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1346/1/012005
Subject(s) - wind power , reliability (semiconductor) , credibility , environmental economics , renewable energy , energy (signal processing) , photovoltaic system , index (typography) , environmental science , solar energy , big data , environmental pollution , reliability engineering , computer science , power (physics) , algorithm , meteorology , engineering , statistics , mathematics , economics , data mining , electrical engineering , environmental protection , geography , political science , physics , quantum mechanics , world wide web , law
Since twenty-first century, many countries have accelerated their development, and the energy on the earth has been gradually consumed, which not only has caused the lack of energy, but also the environmental pollution. Therefore, people have paid much attention to the related problems. Based on the research of big data theory, the credibility algorithm of new energy was established in this paper. And through the establishment of wind farm power generation model, its reliability and indicators were analyzed. Thus, the feasibility of replacing old energy with new energy sources was explored. And through the analysis of the data, the reliability of wind farms and photovoltaic power plants was evaluated.