Simulation of electricity consumption data using multiple artificial intelligence models and cross validation techniques.

ABSTRACT: Worldwide, electricity production exceeds its consumption which leads to wasted financial and energy resources. Machine learning models can be utilized to predict the future consumption to avoid these significant losses. This paper presents the data for the monthly electricity consumption on the community level during May 2017-December 2019 in Dubai, United Arab Emirates. It was acquired from Dubai Pulse, an online repository containing consumption data from Dubai Electricity and Water Authority which provides utility services to the Emirate. Multiple parameters, such as population and number of buildings, were acquired from Dubai Statistics Center in addition to temperature which was obtained from Dubai International Airport. Additional features, such as expatriate ratio, number of custom

SUBMITTER: Hosny M 

PROVIDER: S-EPMC10661651 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature