Incentive mechanisms to promote energy efficiency programs in power distribution companies
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DOI: 10.1016/j.eneco.2015.02.024
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- Pousinho, H.M.I. & Mendes, V.M.F. & Catalão, J.P.S., 2011. "A risk-averse optimization model for trading wind energy in a market environment under uncertainty," Energy, Elsevier, vol. 36(8), pages 4935-4942.
- Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
- Antonio J. Conejo & Miguel Carrión & Juan M. Morales, 2010. "Decision Making Under Uncertainty in Electricity Markets," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7421-1, April.
- Blumstein, Carl, 2010. "Program evaluation and incentives for administrators of energy-efficiency programs: Can evaluation solve the principal/agent problem?," Energy Policy, Elsevier, vol. 38(10), pages 6232-6239, October.
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Cited by:
- Tsao, Yu-Chung & Vu, Thuy-Linh, 2019. "Power supply chain network design problem for smart grid considering differential pricing and buy-back policies," Energy Economics, Elsevier, vol. 81(C), pages 493-502.
- Felipe Barroco Fontes Cunha & Maria Cândida Arrais de Miranda Mousinho & Luciana Carvalho & Fábio Fernandes & Celso Castro & Marcelo Santana Silva & Ednildo Andrade Torres, 2021. "Renewable energy planning policy for the reduction of poverty in Brazil: lessons from Juazeiro," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9792-9810, July.
- Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).
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More about this item
Keywords
Conditional value at risk; Energy efficiency; Incentive mechanisms; Uncertainty;All these keywords.
JEL classification:
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
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