2013•Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Requires access

Electricity Price Forecasting Methods Applied to Spanish Electricity Market

M.C. Ortiz, Ukar, O., Filipe Oliveira Azevedo, Arantza Múgica

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Abstract

Forecasting electricity prices is a fundamental task for all type of markets participants including electricity markets. There are factors that bring unce1tainty to price formation, such as demand forecasting, fuel prices, player's strategies, regulatory changes, weather conditions and technical restrictions and generation availability. In addition, the particular characteristics of electricity (supply must be in balance with demand) make this task more complicated. So, it is necessary to develop accurate and robust techniques on a sho1t-term (days) and long-term basis (months). This work presents two methodologies to be applied to long-term electricity prices forecasting (months) in Spanish electricity market for a glven period. A study case with real data is presented and discussed in detail.

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What this paper is about

Forecasting electricity prices is a fundamental task for all type of markets participants including electricity markets. There are factors that bring unce1tainty to price formation, such as demand forecasting, fuel prices, player's strategies, regulatory changes, weather conditions and technical restrictions and generation availability. In addition, the particular characteristics of electricity (supply must be in balance with demand) make this task more complicated. So, it is necessary to develop accurate and robust techniques on a sho1t-term (days) and long-term basis (months). This work presents two methodologies to be applied to long-term electricity prices forecasting (months) in Spanish electricity market for a glven period. A study case with real data is presented and discussed in detail.

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Available abstract

Forecasting electricity prices is a fundamental task for all type of markets participants including electricity markets. There are factors that bring unce1tainty to price formation, such as demand forecasting, fuel prices, player's strategies, regulatory changes, weather conditions and technical restrictions and generation availability. In addition, the particular characteristics of electricity (supply must be in balance with demand) make this task more complicated. So, it is necessary to develop accurate and robust techniques on a sho1t-term (days) and long-term basis (months). This work presents two methodologies to be applied to long-term electricity prices forecasting (months) in Spanish electricity market for a glven period. A study case with real data is presented and discussed in detail.

Key concepts: Electricity market, Electricity, Economics, Electricity price forecasting, Natural resource economics, Financial economics, Econometrics, Engineering

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