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Optimisation Models and Methods in Energy Systems
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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.
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Keywords
- building microgrid
- combined heat and power
- component outage
- demand side management
- domino effect
- electric-power structure adjustment
- electrical distribution systems
- energy conservation and emissions reduction
- energy network
- energy system management model
- feasible operation region
- firefighting
- flexibility option
- fuzzy set theory
- generation efficiency
- generation expansion planning
- Graph theory
- heating ventilation and air-conditioning (HVAC)
- influence diagram
- integrated energy system
- intermittent sources
- islanded microgrids
- Life Cycle Cost
- long-term forecasting
- Markov chain Monte Carlo
- meshed topology
- microgrid operation
- mixed integer linear programing
- mixed integer linear programming
- multi-criteria decision making (MCDM)
- multi-objective optimization
- net demand
- nondominated sorting genetic algorithm (NSGA)
- occupancy-based control
- oil storage plants
- optimal power generation mix
- optimization
- portfolio analysis
- predicted mean vote (PMV)
- re-optimization and rescheduling
- scenario-based multistage stochastic programming
- semi-mean-absolute deviation model
- Stochastic programming
- stochastic robust optimization
- technique for the order of preference by similarity to the ideal solution (TOPSIS)
- variable renewable power
- wind power forecasting