Optimisation Models and Methods in Energy Systems

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 o...

Descripción completa

Detalles Bibliográficos
Otros Autores:	Antunes, Carlos Henggeler (auth)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Materias:	mixed integer linear programming fuzzy set theory stochastic programming mixed integer linear programing variable renewable power generation efficiency optimization flexibility option portfolio analysis firefighting semi-mean-absolute deviation model component outage energy network predicted mean vote (PMV) generation expansion planning building microgrid demand side management stochastic robust optimization oil storage plants long-term forecasting multi-criteria decision making (MCDM) life cycle cost graph theory scenario-based multistage stochastic programming optimal power generation mix heating ventilation and air-conditioning (HVAC) intermittent sources electric-power structure adjustment technique for the order of preference by similarity to the ideal solution (TOPSIS) integrated energy system Markov chain Monte Carlo nondominated sorting genetic algorithm (NSGA) domino effect energy system management model electrical distribution systems microgrid operation influence diagram net demand wind power forecasting energy conservation and emissions reduction feasible operation region meshed topology occupancy-based control islanded microgrids combined heat and power multi-objective optimization re-optimization and rescheduling
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009438910906719