NDLI: Features affecting the load forecasting error on country level

Content Provider	IEEE Xplore Digital Library
Author	Matijas, M. Cerjan, M. Krajcar, S.
Copyright Year	2011
Description	Author affiliation: Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Croatia (Matijas, M.; Cerjan, M.; Krajcar, S.)
Abstract	Load forecasting is important for power systems planning, and, on the operational level, for the grid operators and the balance responsible parties. A decrease in the load forecasting error increases the security of supply, and leads to the decrease in the financial costs for both market participants and the power system as a whole. Different studies have investigated influence of load forecasting on the load forecasting error for individual countries. The aim of this paper is to analyze the load forecasting error on a dataset larger than any previously conducted study has worked with. On a dataset of 24 European countries, we aim to discover in what ways is the load forecasting error affected by the level of market development, the climate conditions, the average load, the Gross Domestic Product and the penetration of the renewable energy sources. Our study aims to produce results that will contribute to the development of the general load forecasting systems that are not dependent on the climate or the market.
Starting Page	1
Ending Page	7
File Size	1111857
Page Count	7
File Format	PDF
ISBN	9781457714948
e-ISBN	9789899505575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-07
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	INESC Coimbra
Subject Keyword	Energy consumption Load forecasting Economic indicators Electricity Biological system modeling Power system economics Power system planning Load management Regression analysis Forecasting Pattern analysis Load modeling
Content Type	Text
Resource Type	Article

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