NDLI: Short-term load forecasting model based on smart metering data: Daily energy prediction using physically based component model structure

Content Provider	IEEE Xplore Digital Library
Author	Koponen, P.
Copyright Year	2012
Description	Author affiliation: VTT Tech. Res. Centre of Finland, Espoo, Finland (Koponen, P.)
Abstract	Performance of smart grids and energy markets depends on the accuracy of forecasted power balances and power flows. This document describes the following approach to predict daily energy consumption of large groups of small customers that have electrical heating and cooling. The model is divided into parallel submodels, such as transfer function models, for differently behaving load types. Each linear transfer function has also physically based input nonlinearities such as saturation defining the heating and cooling ranges, or heat pump coefficient of performance. The submodels and their input nonlinearities were identified one after another in decreasing size order. 13 months of hourly metered data from about 6672 houses were used in the model development and verification. The model was identified from 2664 randomly selected houses. The model is described and its simulations are compared with measured loads. Future verification and development steps are briefly discussed.
Starting Page	1
Ending Page	4
File Size	472559
Page Count	4
File Format	PDF
e-ISBN	9781467359320
DOI	10.1109/SG-TEP.2012.6642386
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-03
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature measurement Heat pumps Atmospheric modeling Predictive models Forecasting loads Data models Demand response Smart metering Mathematical model Load modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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