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The impact of wind power and electricity demand on the relevance of different short-term electricity markets: The Nordic case

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  • Spodniak, Petr
  • Ollikka, Kimmo
  • Honkapuro, Samuli

Abstract

Electricity wholesale markets are undergoing rapid transformation due to the increasing shares of variable renewable energy sources. We therefore asked whether trading activity is shifting from the traditionally dominant day-ahead market into the markets closer to real time. We studied the relevance of different electricity markets indirectly by analysing the price spreads between day-ahead, intraday and regulating power markets. We estimated vector autoregressive models for Denmark, Sweden and Finland for the period from 2015 to 2017 and studied the interrelationships between the price spreads and the effects of wind forecast and demand forecast errors, and other exogenous variables. We found that wind forecast errors do affect price spreads in areas with large shares of wind power generation. Demand forecast errors have an impact on almost all price spreads, except in areas with relatively low consumption. Interestingly, while the impact of demand forecasts was relatively stable over the studied years, the effects of wind forecasts became more important each year. As a conclusion, markets closer to real time are becoming more important due to the increasing shares of wind power, and their role as reference prices relevant for price risk hedging, capacity markets, and other decision making will probably increase in the future.

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  • Spodniak, Petr & Ollikka, Kimmo & Honkapuro, Samuli, 2021. "The impact of wind power and electricity demand on the relevance of different short-term electricity markets: The Nordic case," Applied Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:appene:v:283:y:2021:i:c:s030626192031494x
    DOI: 10.1016/j.apenergy.2020.116063
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    More about this item

    Keywords

    Electricity market; Nordic; Wind forecast; Demand forecast;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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