Jie Sun
ABSTRACT
As a new technical means, electric power big data analysis technology provides new ideas and methods for marketing decision-making of electric power enterprises. In this article, the problem of consumer propensity prediction in power marketing is studied, aiming at discussing the optimal design of power marketing decision support system (DSS) based on power big data, providing better marketing decision support for power enterprises and realizing sustainable development. The results show that the accuracy of this algorithm is over 94%, which is more than 10% higher than ID3 algorithm. And the recall has reached more than 85%, which is more than 8% higher than ID3 algorithm. The algorithm in this article has obvious advantages in forecasting the consumption tendency of consumers in power marketing. These advantages mainly come from the fact that the algorithm in this article considers more features, adopts more flexible and efficient methods for prediction, and uses regularization technology. These advantages enable this algorithm to predict consumers' consumption tendency more accurately and cover more potential consumers. Therefore, this method can provide more accurate and reliable basis for the marketing decision of power enterprises.
- Tomonori Honda, Akito Ozawa, Hiroko Wakamatsu. Profitability Assessment of Residential Photovoltaic Battery Systems in Japan Using Electric Power Big Data. Sustainability, vol. 13, no. 10, pp. 5370, 2021.Google Scholar
- Faisal Shehzad, Nadeem Javaid, Sheraz Aslam, Muhammad Umar Javed. Electricity theft detection using big data and genetic algorithm in electric power systems. Electric Power Systems Research, vol. 2022, no. 8, pp. 209, 2022.Google Scholar
- He Xiangning, Shi Wei;Li Wuhua, Luo Haoze;Zhao Rongxiang Reliability Enhancement of Power Electronics Systems by Big Data Science. Proceedings of the Chinese Society of Electrical Engineering, vol. 37, no. 1, pp. 209-220, 2017.Google Scholar
- José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez‐Álvarez. Big data solar power forecasting based on deep learning and multiple data sources. Expert Systems, vol. 36, no. 4, pp. 12394, 2019.Google ScholarCross Ref
- Jiahui Jin, Aibo Song; Huan Gong; Yingying Xue, Mingyang Du, Fang Dong, Junzhou Luo. Distributed storage system for electric power data based on Hbase. Big Data Mining & Analytics, vol. 1, no. 4, pp. 324-334, 2018.Google ScholarCross Ref
- Seungkook Roh. Big Data Analysis of Public Acceptance of Nuclear Power in Korea. Nuclear Engineering and Technology, vol. 49, no. 4, pp. 850-854, 2017.Google ScholarCross Ref
- Shangke Liu, Zheng Wang, Yanli Xiao, Xin Ju, Ruixin Gou. The use of edge computing-based internet of things big data in the design of power intelligent management and control platform. International journal of grid and utility computing, vol. 2022, no. 1, pp. 13, 2022.Google Scholar
- Yeshen He, Ying Liu, Yiying Zhang, Kun Liang. The power big data-based energy analysis for intelligent community in smart grid. International Journal of Embedded Systems, vol. 11, no. 3, pp. 295, 2019.Google ScholarCross Ref
- Peng Wang, Caixia Zhang, Yang Jiao, Liujie Li, Kang Yin, Xufeng Wang, Yuhang Xiao, Zhu Tang. Research and application of improving the field service ability of electric power marketing measuring mobile operating based on cloud computing technology. International Journal of High Performance Systems Architecture, vol. 9, no. 2/3, pp. 117, 2020.Google ScholarDigital Library
- Bisio, Alessandro, "Impact of a Novel Diabetes Support System on a Cohort of Individuals with Type 1 Diabetes Treated With Multiple Daily Injections: A Multicenter Randomized Study." Diabetes Care 45.1(2022):186-193.Google Scholar
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