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dc.contributor.authorAntunes, Carlos Henggeler*
dc.date.accessioned2021-02-11T21:46:11Z
dc.date.available2021-02-11T21:46:11Z
dc.date.issued2019*
dc.date.submitted2019-12-09 11:49:15*
dc.identifier42467*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/55325
dc.description.abstractChallenging 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.*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT1-995*
dc.subject.othermixed integer linear programming*
dc.subject.otherfuzzy set theory*
dc.subject.otherstochastic programming*
dc.subject.othermixed integer linear programing*
dc.subject.othervariable renewable power*
dc.subject.othergeneration efficiency*
dc.subject.otheroptimization*
dc.subject.otherflexibility option*
dc.subject.otherportfolio analysis*
dc.subject.otherfirefighting*
dc.subject.othersemi-mean-absolute deviation model*
dc.subject.othercomponent outage*
dc.subject.otherenergy network*
dc.subject.otherpredicted mean vote (PMV)*
dc.subject.othergeneration expansion planning*
dc.subject.otherbuilding microgrid*
dc.subject.otherdemand side management*
dc.subject.otherstochastic robust optimization*
dc.subject.otheroil storage plants*
dc.subject.otherlong-term forecasting*
dc.subject.othermulti-criteria decision making (MCDM)*
dc.subject.otherlife cycle cost*
dc.subject.othergraph theory*
dc.subject.otherscenario-based multistage stochastic programming*
dc.subject.otheroptimal power generation mix*
dc.subject.otherheating ventilation and air-conditioning (HVAC)*
dc.subject.otherintermittent sources*
dc.subject.otherelectric-power structure adjustment*
dc.subject.othertechnique for the order of preference by similarity to the ideal solution (TOPSIS)*
dc.subject.otherintegrated energy system*
dc.subject.otherMarkov chain Monte Carlo*
dc.subject.othernondominated sorting genetic algorithm (NSGA)*
dc.subject.otherdomino effect*
dc.subject.otherenergy system management model*
dc.subject.otherelectrical distribution systems*
dc.subject.othermicrogrid operation*
dc.subject.otherinfluence diagram*
dc.subject.othernet demand*
dc.subject.otherwind power forecasting*
dc.subject.otherenergy conservation and emissions reduction*
dc.subject.otherfeasible operation region*
dc.subject.othermeshed topology*
dc.subject.otheroccupancy-based control*
dc.subject.otherislanded microgrids*
dc.subject.othercombined heat and power*
dc.subject.othermulti-objective optimization*
dc.subject.otherre-optimization and rescheduling*
dc.titleOptimisation Models and Methods in Energy Systems*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-119-7*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
virtual.oapen_relation_isPublishedBy.publisher_nameMDPI - Multidisciplinary Digital Publishing Institute
virtual.oapen_relation_isPublishedBy.publisher_websitewww.mdpi.com/books
oapen.relation.isbn9783039211197*
oapen.relation.isbn9783039211180*
oapen.pages192*
oapen.edition1st*


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