Short term load forecasting using an adaptive neural network

T. S. Dillon; S. Sestito; S. Leung

doi:10.1016/0142-0615(91)90021-M

Short term load forecasting using an adaptive neural network

T. S. Dillon
, S. Sestito
, S. Leung

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

85 Citations (Scopus)

Abstract

This paper presents a method of short term load forecasting using a neural network. A three layered feedforward adaptive neural network, trained by Back-propagation, is used. This method is applied to real data from a power system and comparative results with other methods are given.

Original language	English
Pages (from-to)	186-192
Journal	International Journal of Electrical Power and Energy Systems
Volume	13
Issue number	4
DOIs	https://doi.org/10.1016/0142-0615(91)90021-M
Publication status	Published - Aug 1991
Externally published	Yes

Research Keywords

load forecasting
neural network

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10.1016/0142-0615(91)90021-M

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title = "Short term load forecasting using an adaptive neural network",

abstract = "This paper presents a method of short term load forecasting using a neural network. A three layered feedforward adaptive neural network, trained by Back-propagation, is used. This method is applied to real data from a power system and comparative results with other methods are given.",

keywords = "load forecasting, neural network",

author = "Dillon, \{T. S.\} and S. Sestito and S. Leung",

year = "1991",

month = aug,

doi = "10.1016/0142-0615(91)90021-M",

language = "English",

volume = "13",

pages = "186--192",

journal = "International Journal of Electrical Power and Energy Systems",

issn = "0142-0615",

publisher = "Elsevier Ltd.",

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TY - JOUR

T1 - Short term load forecasting using an adaptive neural network

AU - Dillon, T. S.

AU - Sestito, S.

AU - Leung, S.

PY - 1991/8

Y1 - 1991/8

N2 - This paper presents a method of short term load forecasting using a neural network. A three layered feedforward adaptive neural network, trained by Back-propagation, is used. This method is applied to real data from a power system and comparative results with other methods are given.

AB - This paper presents a method of short term load forecasting using a neural network. A three layered feedforward adaptive neural network, trained by Back-propagation, is used. This method is applied to real data from a power system and comparative results with other methods are given.

KW - load forecasting

KW - neural network

UR - https://www.scopus.com/pages/publications/0026207670

UR - https://www.scopus.com/pages/publications/0026207670#tab=impact

U2 - 10.1016/0142-0615(91)90021-M

DO - 10.1016/0142-0615(91)90021-M

M3 - RGC 21 - Publication in refereed journal

SN - 0142-0615

VL - 13

SP - 186

EP - 192

JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

IS - 4

ER -

Short term load forecasting using an adaptive neural network

Abstract

Research Keywords

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