Classification of Day-Ahead Prices in Asia's First Liberalized Electricity Market Using PNN

被引：0

作者：

Anbazhagan, S. ^{[1
]}

Pravin, K. ^{[2
]}

Kumarappan, N. ^{[1
]}

机构：

[1] Annamalai Univ, Elect Engn, Annamalainagar 608002, Tamil Nadu, India

[2] Sri Venkateswara Coll Engn, Elect Engn, Sriperumbudur, Tamil Nadu, India

来源：

PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR ENGINEERING SOLUTIONS (CIES) | 2013年

关键词：

classification of electricity prices; probabilistic neural network (PNN); price forecasting; uniform Singapore energy price (USEP); ARTIFICIAL NEURAL-NETWORKS; ARIMA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A number of factors determined the outcome of electricity prices and exhibits a very complicated and irregular fluctuation. The accurate forecasting of various approaches is high in forecasting errors. In this work an application of probabilistic neural networks (PNN) mode is applied to national electricity market of Singapore (NEMS), i.e. Asia's first liberalized electricity market. All market participants expect electricity price classifications than the forecasting prices for making decisions. Various price thresholds are used to classify the electricity prices. The proposed PNN model results show a better and efficient performance for classification of electricity market prices.

引用

页码：176 / 179

页数：4

共 50 条

[1] DAY-AHEAD PRICE FORECASTING IN ASIA'S FIRST LIBERALIZED ELECTRICITY MARKET USING ARTIFICIAL NEURAL NETWORKS
Anbazhagan, S.
Kumarappan, N.
[J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2011, 4 (04): : 476 - 485
[2] Day-Ahead Price Forecasting in Asia’s First Liberalized Electricity Market using Artificial Neural Networks
Anbazhagan S.
Kumarappan N.
[J]. International Journal of Computational Intelligence Systems, 2011, 4 (4) : 476 - 485
[3] Day-Ahead Model of the Liberalized Electricity Market in Slovakia
Janicek, Frantisek
Sedivy, Juraj
Sulc, Igor
[J]. PROCEEDINGS OF THE 13TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2012, VOLS 1 AND 2, 2012, : 263 - 268
[4] Classification of Day-Ahead Deregulated Electricity Market Prices Using DCT-CFNN
Anbazhagan, S.
Kumarappan, Narayanan
[J]. SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT II (SEMCCO 2013), 2013, 8298 : 499 - 510
[5] Binary Classification of Day-Ahead Deregulated Electricity Market Prices Using Neural Networks
Anbazhagan, S.
Kumarappan, N.
[J]. 2012 IEEE FIFTH POWER INDIA CONFERENCE, 2012,
[6] A neural network approach to day-ahead deregulated electricity market prices classification
Anbazhagan, S.
Kumarappan, N.
[J]. ELECTRIC POWER SYSTEMS RESEARCH, 2012, 86 : 140 - 150
[7] Probabilistic Forecasting of Day-ahead Electricity Prices for the Iberian Electricity Market
Moreira, Rui
Bessa, Ricardo
Gama, Joao
[J]. 2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2016,
[8] Models proposal for the day-ahead electricity prices in the US electricity market
Culik, Miroslav
Valecky, Jiri
[J]. PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2007, 2007, : 53 - 62
[9] Electricity market prices for day-ahead ancillary services and energy: Texas
Zarnikau, J.
Woo, C. K.
Zhu, S.
Baldick, R.
Tsai, C. H.
Meng, J.
[J]. JOURNAL OF ENERGY MARKETS, 2019, 12 (01) : 43 - 74
[10] Simulation of day-ahead electricity market prices using a statistically calibrated structural model
Mahler, Valentin
Girard, Robin
Billeau, Sebastien
Kariniotakis, Georges
[J]. 2019 16TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2019,

← 1 2 3 4 5 →