Optimisation Models and Methods in Energy Systems

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...

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Bibliographic Details
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
History of engineering and technology
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
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