Data compression approach for the home energy management system

Article Properties
Cite
Jia, Kunqi, et al. “Data Compression Approach for the Home Energy Management System”. Applied Energy, vol. 247, 2019, pp. 643-56, https://doi.org/10.1016/j.apenergy.2019.04.078.
Jia, K., Guo, G., Xiao, J., Zhou, H., Wang, Z., & He, G. (2019). Data compression approach for the home energy management system. Applied Energy, 247, 643-656. https://doi.org/10.1016/j.apenergy.2019.04.078
Jia, Kunqi, Ge Guo, Jucheng Xiao, Huan Zhou, Zhihua Wang, and Guangyu He. “Data Compression Approach for the Home Energy Management System”. Applied Energy 247 (2019): 643-56. https://doi.org/10.1016/j.apenergy.2019.04.078.
Jia K, Guo G, Xiao J, Zhou H, Wang Z, He G. Data compression approach for the home energy management system. Applied Energy. 2019;247:643-56.
Journal Categories
Social Sciences
Industries
Land use
Labor
Special industries and trades
Energy industries
Energy policy
Fuel trade
Technology
Chemical technology
Chemical engineering
Technology
Engineering (General)
Civil engineering (General)
Technology
Environmental technology
Sanitary engineering
Refrences
Title Journal Journal Categories Citations Publication Date
Optimizing the management of smart home energy resources under different power cost scenarios Applied Energy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
66 2019
Data-driven classification of residential energy consumption patterns by means of functional connectivity networks Applied Energy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
14 2019
A data mining-driven incentive-based demand response scheme for a virtual power plant Applied Energy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
56 2019
A deep spatial-temporal data-driven approach considering microclimates for power system security assessment Applied Energy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
32 2019
A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning Applied Energy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
88 2019
Refrences Analysis
The category Technology: Engineering (General). Civil engineering (General) 19 is the most frequently represented among the references in this article. It primarily includes studies from Applied Energy and Energy and Buildings. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Smart home energy management systems: Research challenges and survey Alexandria Engineering Journal
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
2024
An adaptive data compression technique based on optimal thresholding using multi-objective PSO algorithm for power system data Applied Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2024
The Research on Fault Identification of Spatiotemporal Location With Compressed Grid Data Using the Stochastic Sliding Blocks IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2024
A divide-and-conquer method for compression and reconstruction of smart meter data Applied Energy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
2023
Multilevel Adaptive Near-Lossless Compression in Edge Collaborative Wireless Sensor Networks for Mechanical Vibration Monitoring IEEE Transactions on Industrial Electronics
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2023
Citations Analysis
The category Technology: Engineering (General). Civil engineering (General) 8 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Energy-cyber-physical systems and was published in 2019. The most recent citation comes from a 2024 study titled Smart home energy management systems: Research challenges and survey. This article reached its peak citation in 2024, with 3 citations. It has been cited in 7 different journals, 28% of which are open access. Among related journals, the Applied Energy cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year