Personal Data Protection Rules!

Guidelines for Privacy-Friendly Smart Energy Services.

verfasst von

Jana Gerlach, Alexandra Scheunert, Michael H. Breitner

Abstract

Privacy-friendly processing of personal data is proving to be increasingly challenging in today’s energy systems as the amount of data grows. Smart energy services provide value creation and co-creation by processing sensible user data collected from smart meters, smart home devices, storage systems, and renewable energy plants. To address this challenge, we analyze key topics and develop design requirements and design principles for privacy-friendly personal data processing in smart energy services. We identify these key topics through expert interviews, text-mining, and topic modelling techniques based on 149 publications. Following this, we derive our design requirements and principles and evaluate these with experts and an applicability check with three real-world smart energy services. Based on our results and findings, we establish a further research agenda consisting of five specific research directions.

Organisationseinheit(en)

Institut für Wirtschaftsinformatik

Externe Organisation(en)

Technische Universität Clausthal

Typ

Aufsatz in Konferenzband

Publikationsdatum

2022

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://aisel.aisnet.org/ecis2022_rp/123/ (Zugang: Geschlossen)