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Artificial Neural Network
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Very shortterm load forecasting using artificial neural networks
Short term load forecasting using a multilayer neural network with an adaptive learning algorithm
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Shortterm load forecasting using an artificial neural network
Shortterm load forecasting using an artificial neural network,10.1109/59.141695,IEEE Transactions on Power Systems,K. Y. Lee,Y. T. Cha,J. H. Park
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Shortterm load forecasting using an artificial neural network
(
Citations: 181
)
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K. Y. Lee
,
Y. T. Cha
,
J. H. Park
An
artificial neural network
(ANN) method is applied to forecast the shortterm load for a large power system. The load has two distinct patterns: weekday and weekendday patterns. The weekendday pattern includes Saturday, Sunday, and Monday loads. A nonlinear load model is proposed and several structures of an ANN for shortterm
load forecasting
were tested. Inputs to the ANN are past loads and the output of the ANN is the load forecast for a given day. The network with one or two hidden layers was tested with various combinations of neurons, and results are compared in terms of forecasting error. The neural network, when grouped into different load patterns, gives a good load forecast
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 7, no. 1, pp. 124132, 1992
DOI:
10.1109/59.141695
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Citation Context
(54)
...Another widely spread method is based on Artificial Neural Networks (ANN) [7], [
8
]...
G. Roblot
,
et al.
Statistical approach for electrical generator consumption in an aerona...
...Several forecasting techniques for predicting short term electricity price [1216] and load [
1719
] have been presented by researchers...
Yixing Xu
,
et al.
Distribution systems reliability and economic improvement with differe...
...For shortterm load prediction, there are three major models: regression model [6], neural network [
8
] and similar day methods [7]...
Shuping Gong
,
et al.
Dynamic spectrum allocation for power load prediction via wireless met...
...The artificial neural network approach [
5
]–[6] has lately received much attention...
Mengliang Liu
.
Short term load forecasting based on the particle swarm optimization w...
...To forecast tomorrow’s load, the standard neural network method [
5
]–[8] uses a single network with tomorrow’s weekday index, predicted weather, and most recently available load (e.g., yesterday’s load) as inputs...
...To forecast the load of tomorrow (day D), the common practice is to use the most recently available load, i.e., the load of yesterday (D2), and the load of one week ago (D7, with the same weekday index) [
5
]–[8]...
Ying Chen
,
et al.
ShortTerm Load Forecasting: Similar DayBased Wavelet Neural Networks
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Citations
(181)
Shortterm Maharashtra state electrical power load prediction with special emphasis on seasonal changes using a novel focused time lagged recurrent neural network based on time delay neural network model
(
Citations: 1
)
S. M. Kelo
,
S. V. Dudul
Journal:
Expert Systems With Applications  ESWA
, vol. 38, no. 3, pp. 15541564, 2011
Statistical approach for electrical generator consumption in an aeronautical purpose
G. Roblot
,
P. Guerin
,
C. Baumann
Published in 2011.
Distribution systems reliability and economic improvement with different electric energy storage control strategies
Yixing Xu
,
Chanan Singh
Conference:
Power Engineering Society, IEEE General Meeting  PES
, pp. 18, 2011
A metaheuristic framework for forecasting household electricity consumption
A. Azadeh
,
Z. S. Faiz
Journal:
Applied Soft Computing  ASC
, vol. 11, no. 1, pp. 614620, 2011
Dynamic spectrum allocation for power load prediction via wireless metering in smart grid
Shuping Gong
,
Husheng Li
Conference:
Conference on Information Sciences and Systems  CISS
, pp. 16, 2011