Big Data Analysis of Power Market Energy Economics

Liu, Hui; Nikitas, Nikolaos; Li, Yanfei; Yang, Rui

doi:10.1007/978-981-16-8965-9_6

Cited by 1 publication

(1 citation statement)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Market management can obtain the analysis, classification and statistics of market information through various channels, track and analyze the indicators and find problems in a timely manner Thus, relevant strategies can be used to solve the problem. Obtain potential expansion projects through potential analysis, formulate measures, analyze the effects of expansion projects, and ensure good market expansion effects [9] . The law of market development is obtained through market analysis, and the prediction results are obtained by using various prediction models, so as to provide reference for market expansion and power grid operation [10] .…”

Section: Power Market Demand Modulementioning

confidence: 99%

Research on intelligent and efficient analysis and mining technology of power big data based on multi-source data filtering analysis

Mao

Bao

Tian

et al. 2023

Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022)

View full text Add to dashboard Cite

In view of the increasing data volume and the increasingly difficult data analysis in the power industry, an intelligent and efficient analysis and mining framework for power big data is designed to quickly obtain valuable information. Analyze the overall framework of the power big data center, mainly including the service layer, verification layer, data source layer, and feature analysis layer. In addition, through analyzing the process of data mining, it is found that the business needs to be strengthened And realize expansion. The framework design of power big data intelligent analysis and mining technology mainly includes power market demand, customer analysis, high-performance data analysis, service system, data security governance and other modules. Through the analysis of an example of intelligent power big data mining, the analysis results show that the intelligent power data mining has good analysis effect and high mining accuracy.

show abstract

Section: Power Market Demand Modulementioning

confidence: 99%