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Role of Energy Exchanges for Power Trading in India

Author

Listed:
  • G. P. Girish

    (Department of Finance, IBS Hyderabad, IFHE University (a Deemed to-be-University under Section 3 of UGC Act 1956), Hyderabad, Andhra Pradesh, India)

  • S. Vijayalakshmi

    (Department of Finance, IBS Hyderabad, IFHE University (a Deemed to-be-University under Section 3 of UGC Act 1956), Hyderabad, Andhra Pradesh, India.)

Abstract

The Indian Electricity Act 2003 defi nes power trading as the purchase of electricity for resale thereof. In this study, we review various facets of power trading, Indian electricity market, power exchanges and the day-ahead spot electricity market of India. The power exchanges are attributed with inherent features like being nationwide, ensuring anonymity, offering transparency, being automated and enabling effi cient price-discovery, we believe that, power trading in India is all set to undergo a paradigm shift in terms of volume of transaction through power exchanges, price discovery, number of participants and will eventually ensure in playing a major role in addressing the biggest concern of supply-demand mismatch of electricity in India

Suggested Citation

  • G. P. Girish & S. Vijayalakshmi, 2015. "Role of Energy Exchanges for Power Trading in India," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 673-676.
    • Handle: RePEc:eco:journ2:2015-03-05
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    References listed on IDEAS

    as
    1. Girish Godekere Panchakshara Murthy & Vijayalakshmi Sedidi, 2014. "Forecasting Electricity Prices in Deregulated Wholesale Spot Electricity Market: A Review," International Journal of Energy Economics and Policy, Econjournals, vol. 4(1), pages 32-42.
    2. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    3. Shereef, R.M. & Khaparde, S.A., 2013. "Current status of REC mechanism in India and possible policy modifications to way forward," Energy Policy, Elsevier, vol. 61(C), pages 1443-1451.
    4. Andrea Cervone & Ezio Santini & Sabrina Teodori & Donatella Zaccagnini Romito, 2014. "Electricity Price Forecast: a Comparison of Different Models to Evaluate the Single National Price in the Italian Energy Exchange Market," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 744-758.
    5. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook0601.
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    Cited by:

    1. S. Vijayalakshmi & G. P. Girish, 2015. "Artificial Neural Networks for Spot Electricity Price Forecasting: A Review," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1092-1097.
    2. G. P. Girish & P. Sashikala & Bharath Supra & Anitha Acharya, 2015. "Renewable Energy Certifi cate Trading through Power Exchanges in India," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 805-808.
    3. G P Girish & Aviral Kumar Tiwari, 2016. "A comparison of different univariate forecasting models forSpot Electricity Price in India," Economics Bulletin, AccessEcon, vol. 36(2), pages 1039-1057.

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    More about this item

    Keywords

    Power Trading; Energy Exchanges; Indian Electricity Market;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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