publication . Article . 2020

Forecasting electrical energy consumption using efficient Gaussian processes: A case study

Mohammed Morad; Hossam S. Abbas; Mohamed Nayel; Adel A. Elbaset; A. I. A. Galal;
Open Access English
  • Published: 01 Mar 2020 Journal: Journal of Electrical Systems (issn: 1112-5209, eissn: 1112-5209, Copyright policy)
  • Publisher: ESRGroups
Abstract
This paper presents an application of Gaussian processes (GPs) for forecasting electrical energy consumption, a case study is considered, which is the main campus of Assiut University located in Assiut city in the middle of Egypt. GPs are a tool that can handle uncertainties in prediction. The study carried out here incorporates the effect of several variables on the prediction process, which constitute the inputs to a GP model. We consider three significant factors affecting the energy consumption including weather conditions, schedules related to work and human activities, and occupancy. Each factor is further divided into a number of timedependent variables t...
Subjects
free text keywords: gaussian process, neural networks, autoregressive neural networks, time series, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Download from
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue