Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes

Eoghan O'Neill and Melvyn Weeks
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Melvyn Weeks: Faculty of Economics and Clare College, University of Cambridge

No EPRG 1906, Working Papers from Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge

Keywords: Machine learning; TOU tariffs; Smart metering; Household electricity demand (search for similar items in EconPapers)
JEL-codes: C55 Q41 (search for similar items in EconPapers)
Date: 2019-01
New Economics Papers: this item is included in nep-ene and nep-reg
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Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes (2019)
Working Paper: Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes (2018)
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