A comparison of two techniques for next-day electricity price forecasting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2412, Issue , 2002, Pages 384-390

  Lora, Alicia Troncoso ^a   Santos, Jesús Riquelme ^a   Santos, José Riquelme ^a   Expósito, Antonio Gómez ^a   Ramos, José Luís Martínez ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; ECONOMIC ANALYSIS; ELECTRIC INDUSTRY; FORECASTING; GENETIC ALGORITHMS;

COMPETITIVE MARKETS; DAY-AHEAD ELECTRICITY MARKET; DYNAMIC REGRESSIONS; ELECTRICITY PRICE FORECASTING; GENERATION COMPANIES; NEAREST NEIGHBOUR; OPTIMAL BIDDING STRATEGY; SPANISH ELECTRICITY MARKETS;

POWER MARKETS;

EID: 33749530479     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45675-9_57     Document Type: Conference Paper

References (6)

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6. F. J. Nogales, J. Contreras, A. J. Conejo and R. Spinola: Forecasting Next-Day Electricity Prices by Time Series Models. IEEE Trans. on Power System, to appear in 2002.