2008
DOI: 10.1016/j.enpol.2008.01.011
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A mathematical programming framework for energy planning in services’ sector buildings under uncertainty in load demand: The case of a hospital in Athens

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Cited by 111 publications
(60 citation statements)
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References 27 publications
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“…Empirical method: 13 typical periods, one per month as the average values and one extreme day [7]. 2.…”
Section: Test Casementioning
confidence: 99%
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“…Empirical method: 13 typical periods, one per month as the average values and one extreme day [7]. 2.…”
Section: Test Casementioning
confidence: 99%
“…Casini et al [6] used 3 typical periods for the thermal demands, one per season (winter, summer and intermediary) and 24 typical periods for electricity sold to the grid. Mavrotas et al [7] used 12 typical periods, using monthly averages. Balachandra and Chandru [8] proposed 9 representative daily load curves for electricity demand.…”
Section: Introductionmentioning
confidence: 99%
“…Loken (2007) presented a literature review about the implementation of MCDM instruments in energy planning problems. Mavrotas et al (2008) modeled the uncertain power demand by using a multi-objective mathematical programming approach. They aimed at minimizing the total cost, and maximizing the demand satisfaction degree.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The result of the MO optimization is usually not a single solution, but a set of the Pareto optimal solutions, i.e., the solutions that cannot be improved with respect to one objective value without deteriorating at least one of the other values of the objective functions [51].…”
Section: Multiple Objectives Considerationmentioning
confidence: 99%