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Big Data issues and opportunities for electric utilities

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  • Schuelke-Leech, Beth-Anne
  • Barry, Betsy
  • Muratori, Matteo
  • Yurkovich, B.J.

Abstract

Advances and innovations are crucial for a sustainable electricity system that includes smart grid technologies, renewable energy sources, and greater energy efficiency. These technologies are often layered on top of the existing infrastructure and legacy information systems. The management and utilization of the data generated from the different components of the electrical system are critical for the successful deployment and operation of this system. This paper reviews the issues and opportunities of the use of Big Data for electric utilities. Big Data provides the opportunity to better monitor, correct, and integrate smart grid technologies and renewable energy. At the same time, data management and utilization must be integrated into organizational operations if the potentials are to be realized. Electric utilities are conservative, heavily-regulated, and concerned with both system reliability and overall profitability. Thus, technological, economic, institutional, and policy constraints must all be addressed. After reviewing these issues and opportunities, we empirically analyze whether these are part of the discussions about electric utilities with federal policymakers. The results show that while conversations about electric utilities overall are plentiful, conversations about data in the context of electric utilities are relatively rare.

Suggested Citation

  • Schuelke-Leech, Beth-Anne & Barry, Betsy & Muratori, Matteo & Yurkovich, B.J., 2015. "Big Data issues and opportunities for electric utilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 937-947.
    • Handle: RePEc:eee:rensus:v:52:y:2015:i:c:p:937-947
    DOI: 10.1016/j.rser.2015.07.128
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    as
    1. Paul L. Joskow, 2006. "Markets for Power in the United States: An Interim Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-36.
    2. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    3. Paul L. Joskow, 2012. "Creating a Smarter U.S. Electricity Grid," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 29-48, Winter.
    4. Walawalkar, Rahul & Fernands, Stephen & Thakur, Netra & Chevva, Konda Reddy, 2010. "Evolution and current status of demand response (DR) in electricity markets: Insights from PJM and NYISO," Energy, Elsevier, vol. 35(4), pages 1553-1560.
    5. Weiss, Martin & Patel, Martin K. & Junginger, Martin & Perujo, Adolfo & Bonnel, Pierre & van Grootveld, Geert, 2012. "On the electrification of road transport - Learning rates and price forecasts for hybrid-electric and battery-electric vehicles," Energy Policy, Elsevier, vol. 48(C), pages 374-393.
    6. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    7. Perrons, Robert K. & Jensen, Jesse W., 2015. "Data as an asset: What the oil and gas sector can learn from other industries about “Big Data”," Energy Policy, Elsevier, vol. 81(C), pages 117-121.
    8. Li, Hui & Jenkins-Smith, Hank C. & Silva, Carol L. & Berrens, Robert P. & Herron, Kerry G., 2009. "Public support for reducing US reliance on fossil fuels: Investigating household willingness-to-pay for energy research and development," Ecological Economics, Elsevier, vol. 68(3), pages 731-742, January.
    9. Karellas, S. & Panopoulos, K.D. & Panousis, G. & Rigas, A. & Karl, J. & Kakaras, E., 2012. "An evaluation of Substitute natural gas production from different coal gasification processes based on modeling," Energy, Elsevier, vol. 45(1), pages 183-194.
    10. Jamasb, Tooraj & Pollitt, Michael, 2008. "Liberalisation and R&D in network industries: The case of the electricity industry," Research Policy, Elsevier, vol. 37(6-7), pages 995-1008, July.
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