03243nam 2200853z- 450 991036756920332120231214133551.03-03921-119-6(CKB)4100000010106054(oapen)https://directory.doabooks.org/handle/20.500.12854/55325(EXLCZ)99410000001010605420202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierOptimisation Models and Methods in Energy SystemsMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (192 p.)3-03921-118-8 Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning.mixed integer linear programmingfuzzy set theorystochastic programmingmixed integer linear programingvariable renewable powergeneration efficiencyoptimizationflexibility optionportfolio analysisfirefightingsemi-mean-absolute deviation modelcomponent outageenergy networkpredicted mean vote (PMV)generation expansion planningbuilding microgriddemand side managementstochastic robust optimizationoil storage plantslong-term forecastingmulti-criteria decision making (MCDM)life cycle costgraph theoryscenario-based multistage stochastic programmingoptimal power generation mixheating ventilation and air-conditioning (HVAC)intermittent sourceselectric-power structure adjustmenttechnique for the order of preference by similarity to the ideal solution (TOPSIS)integrated energy systemMarkov chain Monte Carlonondominated sorting genetic algorithm (NSGA)domino effectenergy system management modelelectrical distribution systemsmicrogrid operationinfluence diagramnet demandwind power forecastingenergy conservation and emissions reductionfeasible operation regionmeshed topologyoccupancy-based controlislanded microgridscombined heat and powermulti-objective optimizationre-optimization and reschedulingAntunes Carlos Henggelerauth1326687BOOK9910367569203321Optimisation Models and Methods in Energy Systems3037666UNINA