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Methodology for Electricity Price Forecasting in the Long Run

  • Amrita Vishwa Vidyapeetham
  • Ghent University

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

The long-term forecasting of electricity price has received less attention in literature. A probable reason for less attention is uncertainty about various factors in the long run, for instance- oil price, regulatory policies, political intervention, technological changes, energy mix, grid operations, etc. As a general operation, energy generated through different sources is supplied to grid which is finally composed of "energy mix". A large decision on the finalisation of retail electricity price could also depend on the load factors and capacity utilization of energy generating plants. A majority of the studies dealing with electricity price forecast electricity prices in the short run. Whereas, the aim of this study is to present a long-term perspective by introducing a methodology framework that consists of various parameters associated with the forecasting of electricity price in the long run. To the best of our understanding, this framework has not been proposed in existing energy literature, and therefore, under an assumption that future electricity market will be dominated by clean energy generation, this study brings novelty to the literature.

Original languageEnglish
Pages (from-to)195-199
Number of pages5
JournalEnergy Procedia
Volume95
DOIs
StatePublished - 2016
Externally publishedYes
EventInternational Scientific Conference Environmental and Climate Technologies, CONECT 2015 - Riga, Latvia
Duration: 14 Oct 201516 Oct 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • carbon price
  • electricity price forecasting
  • energy mix
  • long run electricity prices

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