وثيقة

Predicting Electricity Consumption Using Load Profiling Clustering Method

وكيل مرتبط
Hilal, Sawsan , مشرف الرسالة العلمية
Ksantini, Riadh, مشرف الرسالة العلمية
اللغة
الأنجليزية
مدى
[1], 8, 144, [1] Pages
مكان المؤسسة
Sakhir, Bahrain
نوع الرسالة الجامعية
Theses (Master)
الجهه المانحه
"University of Bahrain, College of Science Environmental and Sustainable Development program
الملخص الإنجليزي
Abstract: Energy consumption is considered one of the essential topics of energy systems which gained high attention after the energy crisis in 1970’s. It has been shown that energy consumption throughout the world is rapidly increasing. The field of smart meter data analytics is considered as a relatively recent field that grew recently due to the importance of the data generated from smart meters and with the progress in highperformance computing which made it possible to efficiently and effectively use deep neural networks to extract more beneficial knowledge and patterns from collected massive data within the smart grid. Hence it became crucial to analyse the energy consumption trends.
المجموعة
المعرف
https://digitalrepository.uob.edu.bh/id/02bd4703-e9a8-4a79-84df-74284bd02ed0