Dynamic data system modelling of electrical power demand

A. N. Shuaib; I. M. Elamin

doi:10.1016/0142-0615(87)90007-X

Dynamic data system modelling of electrical power demand

A. N. Shuaib^*, I. M. Elamin

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

Abstract

Time-series models are fitted to electrical load demand and ambient temperature using the dynamic data system methodology to identify the dynamic features of demand and temperature and to evaluate the impact of temperature dynamics on load demand. The models are used to forecast demand and the results agree closely with the actual data.

Original language	English
Pages (from-to)	250-253
Number of pages	4
Journal	International Journal of Electrical Power and Energy Systems
Volume	9
Issue number	4
DOIs	https://doi.org/10.1016/0142-0615(87)90007-X
State	Published - Oct 1987

Keywords

data gathering and analysis
modelling of energy systems - local and environmental
utility application

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1016/0142-0615(87)90007-X

Cite this

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title = "Dynamic data system modelling of electrical power demand",

abstract = "Time-series models are fitted to electrical load demand and ambient temperature using the dynamic data system methodology to identify the dynamic features of demand and temperature and to evaluate the impact of temperature dynamics on load demand. The models are used to forecast demand and the results agree closely with the actual data.",

keywords = "data gathering and analysis, modelling of energy systems - local and environmental, utility application",

author = "Shuaib, \{A. N.\} and Elamin, \{I. M.\}",

year = "1987",

month = oct,

doi = "10.1016/0142-0615(87)90007-X",

language = "English",

volume = "9",

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T1 - Dynamic data system modelling of electrical power demand

AU - Shuaib, A. N.

AU - Elamin, I. M.

PY - 1987/10

Y1 - 1987/10

N2 - Time-series models are fitted to electrical load demand and ambient temperature using the dynamic data system methodology to identify the dynamic features of demand and temperature and to evaluate the impact of temperature dynamics on load demand. The models are used to forecast demand and the results agree closely with the actual data.

AB - Time-series models are fitted to electrical load demand and ambient temperature using the dynamic data system methodology to identify the dynamic features of demand and temperature and to evaluate the impact of temperature dynamics on load demand. The models are used to forecast demand and the results agree closely with the actual data.

KW - data gathering and analysis

KW - modelling of energy systems - local and environmental

KW - utility application

UR - https://www.scopus.com/pages/publications/0023436622

U2 - 10.1016/0142-0615(87)90007-X

DO - 10.1016/0142-0615(87)90007-X

M3 - Article

AN - SCOPUS:0023436622

SN - 0142-0615

VL - 9

SP - 250

EP - 253

JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

IS - 4

ER -

Dynamic data system modelling of electrical power demand

Abstract

Keywords

ASJC Scopus subject areas

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