Title: Short term electricity forecasting using smart meter data
Authors: Ząbkowski, Tomasz
Gajowniczek, Krzysztof
Citation: ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. IV-59-IV-60.
Issue Date: 2013
Publisher: University of West Bohemia
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/11528
ISBN: 978-80-261-0246-5
Keywords: inteligentní měření;krátkodobá energetická předpověď;neuronové sítě;přesnost předpovědi
Keywords in different language: smart metering;short term energy forecasting;neural networks;forecast accuracy
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 24 hours ahead, not on the aggregate but on the individual household level.
Rights: © University of West Bohemia
Appears in Collections:ISTET 2013
ISTET 2013
ISTET 2013

Files in This Item:
File Description SizeFormat 
Ząbkowski.pdfPlný text305,48 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11528

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.