Research on the architecture of energy big data operation service system and algorithm simulation based on decision tree
Konferenz: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
25.03.2022 - 27.03.2022 in Wuhan, China
Tagungsband: CIBDA 2022
Seiten: 4Sprache: EnglischTyp: PDF
Autoren:
Yao, Ying; Xiao, ZhenFeng (Economic and Technological Research Institute of State Grid Hunan Electric Power Co., Ltd, China)
Zhang, Yu (Beijing State Grid Xintong Accenture Information Technology Co., Ltd, China)
Chen, YuanYang; Tang, YuanFu (State Grid Hunan Electric Power Co., Ltd, China)
Inhalt:
Through the energy big data platform, realize the intelligent management of energy, improve energy utilization efficiency, improve energy production system and develop renewable energy, and finally build the energy Internet, promote the application of renewable energy and complete the intelligent peak shaving of energy. The energy big data platform realizes intelligent energy management, builds a control platform that can manage and ensure the efficient operation of the center. The author compares the actual energy data from 2018 to 2021 with the decision tree algorithm and achieves good results.