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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 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