Publication: Willingness of Electricity Consumer in Malaysia to Share Electric Energy Consumption Data
Date
2021
Authors
Yussof S.
Mohd Zulkefle N.N.
Yusoff Y.
Abu Bakar A.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
Data sharing is a process of interchanging data among multiple data sources in a controllable access manner. Successful data sharing of information belong to public depends on public support. Analyzing household electric consumption data and user behaviour profile based on household electricity demand are also vital to enhance energy efficiency in Malaysia. This research used quantitative methodology via survey method. A set of questionnaires was developed to identify the willingness of electricity consumer in Malaysia on sharing their electric energy consumption data and types of incentives preferred. A total of 424 responses were successfully gathered and was analyzed using SPSS software. This survey proves that electricity consumer in Malaysia are willing to share their energy consumption data regardless of demographic profiles, with or without awareness of PDPA and technology that may capture their data. These findings indicate that data sharing related to energy consumption can potentially be successful since statistic shows that the public are willing to share their energy consumption data. The result of this study may help researcher who are planning to develop data sharing platform to increase public willingness to share their energy data. The availability of data sharing platform can assist research community during data gathering process which later can be analyzed to identify areas of improvement to be undertaken by the industry. � 2021, Springer Nature Switzerland AG.
Description
Behavioral research; Electric power utilization; Green computing; Information analysis; Surveys; Data Sharing; Data-sharing platforms; Electric consumption; Electric energy consumption; Electricity consumers; Energy consumption datum; Energy-consumption; Malaysia; Multiple data sources; Public support; Energy efficiency