Comparison of Day-Ahead Price Forecasting In Energy Market Using Neural Network and Genetic Algorithm

被引：0

作者：

Sarada, K. ^{[1
]}

Raju, V. Bapi ^{[2
]}

机构：

[1] KL Univ, Dept Elect & Elect Engn, Guntur, Andhra Pradesh, India

[2] Andhra Coll Engn, Dept Elect Engn, Visakhapatnam, Andhra Pradesh, India

来源：

2014 INTERNATIONAL CONFERENCE ON SMART ELECTRIC GRID (ISEG) | 2014年

关键词：

Electricity market; price forecasting; ANN; Genetic Algorithm; DAY ELECTRICITY PRICES; MODELS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Price prognostication has become progressively relevant to producers and shoppers within the new competitive wattage markets. Both for spot markets and long -term contractors, value forecasts square measure necessary to develop bidding ways. In this paper, Genetic Algorithm based Neural network (GANN) approach is used to forecast short term hourly electricity price and the results are compared with Aritificial Neural Network(ANN). The recommended method is studied on the PJM electricity market. The results achieved through the simulation illustrates that the proposed model offers exact and improved results.

引用

页数：5

共 17 条

[1]

Bhattacharya K., 2001, OPERATION RESTRUCTUR

[2] Short-term electricity prices forecasting in a competitive market: A neural network approach [J].

Catalao, J. P. S. ;

Mariano, S. J. P. S. ;

Mendes, V. M. F. ;

Ferreira, L. A. F. M. .

ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (10) :1297-1304

[3]

Chen Yan-Gao, 3 INT S INT INF TECH, P292

[4] ARIMA models to predict next-day electricity prices [J].

Contreras, J ;

Espínola, R ;

Nogales, FJ ;

Conejo, AJ .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1014-1020

[5] Forecasting of electricity prices with neural networks [J].

Gareta, R ;

Romeo, LM ;

Gil, A .

ENERGY CONVERSION AND MANAGEMENT, 2006, 47 (13-14) :1770-1778

[6]

Georgilakis Pavlos S., 2007, INT J APPL ARTIFICIA, V21

[7]

Lai L.L., 2002, Power System Restructuring and Deregulation -Trading, Performance and Information Technology

[8]

Lai Loi Lei, POWER SYSTEM RESTRUC

[9] Forecasting next-day electricity prices by time series models [J].

Nogales, FJ ;

Contreras, J ;

Conejo, AJ ;

Espínola, R .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (02) :342-348

[10] Parameter optimisation using genetic algorithm for support vector machine-based price-forecasting model in National electricity market [J].

Saini, L. M. ;

Aggarwal, S. K. ;

Kumar, A. .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2010, 4 (01) :36-49

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