Identifying Innovative Actors in the Electricicity Supply Industry Using Machine Learning: An Application to UK Patent Data
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- Geoffroy G Dolphin & Michael G Pollitt, 2020. "Identifying innovative actors in the Electricity Supply Industry using machine learning: an application to UK patent data," Working Papers EPRG2004, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
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- Matteo Romagnoli, 2022. "Can electricity liberalisation foster the development of radical clean-energy technologies?," Working Papers 2022.44, Fondazione Eni Enrico Mattei.
- Romagnoli, Matteo, 2022. "Can electricity liberalisation foster the development of radical clean-energy technologies?," FEEM Working Papers 329738, Fondazione Eni Enrico Mattei (FEEM).
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More about this item
Keywords
innovation; electricity sector; machine learning;All these keywords.
JEL classification:
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-07-13 (Big Data)
- NEP-HIS-2020-07-13 (Business, Economic and Financial History)
- NEP-INO-2020-07-13 (Innovation)
- NEP-KNM-2020-07-13 (Knowledge Management and Knowledge Economy)
- NEP-REG-2020-07-13 (Regulation)
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