Application of stochastic dominance tests to utility resource planning under uncertainty
References (22)
- et al.
Energy
(1990) J. Monet. Econ.
(1988)- et al.
Publ. Utilities Fortnightly
(1987) - et al.
Uncertainty in Long-Term Resource Planning for Electric Utilites
Oak Ridge National Laboratory, Report ORNL/CON-272
(1988) Publ. Utilities Fortnightly
(1989)1986 Northwest Conservation and Electric Power Plan
(1986)Benefits and Costs of Small, Short Lead-Time Power Plants and Demand-Side Programs in an Era of Load-Growth Uncertainty
Oak Ridge National Laboratory, Report ORNL/CON-278
(1989)Renegotiating the Downstream Benefits of the Columbia River Treaty: an Application of Benefit-Cost Analysis Under Uncertainty
- et al.
Publ. Utilities Fortnightly
(1985) Risk, Uncertainty, and Profit
(1933)
Uncertainties and Risks in Electric Utility Resource Planning
Cited by (7)
Risk-based energy management of industrial buildings in smart cities and peer-to-peer electricity trading using second-order stochastic dominance procedure
2022, Sustainable Cities and SocietyCitation Excerpt :In Xin, Haiming, Yuan, & Weijuna, 2020, the disappointment almost stochastic dominance (DASD) method is used to solve multiple criteria decision making (SMCDM) problem. In addition, in reference (Lesser, 1990), the uncertainty and risk parameters have made the planning process more complex. In order to tackle this problem which affects the overall structure of the system within the electricity market, the stochastic dominance is taken into account.
Analysing decarbonizing strategies in the European power system applying stochastic dominance constraints
2021, Energy EconomicsCitation Excerpt :The use of SSD constraints in modelling approaches in the field of power systems is not very extended. Lesser (1990) represents one of the first papers applying stochastic dominance tests to examine the planning alternatives of an electricity utility. Cheong et al. (2007) also undertake the investment problem of an electric company and apply SSD constraints to control the risk of the objective function.
Effects of utility demand-side management programs on uncertainty
1994, Resource and Energy EconomicsSupporting Multicriteria Group Decisions with MACBETH Tools: Selection of Sustainable Brownfield Redevelopment Actions
2017, Group Decision and NegotiationEmpirical tests of stochastic dominance in capital investment planning: A spreadsheet framework
2014, Engineering EconomistPlanning and scheduling under uncertainty: A review across multiple sectors
2010, Industrial and Engineering Chemistry Research