Privacy-Preserving Local Energy Markets: A Systematic Literature Review Data Extraction Table

Dataset

Description

This document contains data extracted from 61 peer-reviewed papers about privacy-preserving solutions for the local energy market in its different forms, including peer-to-peer markets, collective self-consumption, and transactive energy markets. The papers were collected from IEEE, ACM, Science Direct, MDPI, and Web of Science databases and were identified through a systematic literature search. The data extraction was performed by one author for each paper. After completion, all extracted data were checked for inconsistencies by the participating authors.
Date made available22 May 2023
PublisherUniversity of Manchester Figshare

Keywords

  • privacy
  • security
  • local energy markets
  • electricity trading
  • energy trading
  • peer-to-peer
  • vehicle-to-vehicle
  • community self-consumption
  • private
  • transactive energy

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