Paper Info
Title
Short Term Electricity Forecasting Using Individual Smart Meter Data.
Abstract
Smart metering is a quite new topic that has grown in importance all over the world and it appears to be a remedy for rising prices of electricity. Forecasting electricity usage is an important task to provide intelligence to the smart gird. Accurate forecasting will enable a utility provider to plan the resources and also to take control actions to balance the electricity supply and demand. The customers will benefit from metering solutions through greater understanding of their own energy consumption and future projections, allowing them to better manage costs of their usage. In this proof of concept paper, our contribution is the proposal for accurate short term electricity load forecasting for 24hours ahead, not on the aggregate but on the individual household level.
Year
DOI
Venue
2014
10.1016/j.procs.2014.08.140
Procedia Computer Science
Keywords
Field
DocType
smart metering,short term electrictity forecasting,neural networks,support vector machines,forecast accuracy
Data mining,Electricity,Computer science,Load forecasting,Proof of concept,Mains electricity,Smart meter,Metering mode,Energy consumption
Conference
Volume
ISSN
Citations 
35
1877-0509
9
PageRank 
References 
Authors
0.96
6
2
Name
Order
Citations
PageRank
Krzysztof Gajowniczek1196.14
Tomasz Zabkowski23211.28