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European journal of operational research, ISSN 0377-2217, 11/2020
Journal Article
01/2019, ISBN 3039211579
n/a | Stackelberg game | MILP | optimal congestion threshold | magnetic field mitigation | simulation | multi-objective particle swarm optimization | virtual power plant | internal defect | day-ahead load forecasting | neural network | modular predictor | multi-objective particle swarm optimization algorithm | stochastic optimization | dragonfly algorithm | unit commitment | metaheuristic | multi-population method (MP) | optimization | tabu search | considerable decomposition | loss minimization | active distribution system | islanded microgrid | dynamic solving framework | feature selection | electric energy costs | power factor compensation | dependability | interactive load | overhead | energy internet | evolutionary computation | wind power | developed grew wolf optimizer | underground | ETAP | IEEE Std | fuzzy algorithm | electric vehicles | Schwarz’s equation | evolutionary algorithms | electric power contracts | congestion management | optimizing-scenarios method | building energy management system | particle encoding method | ringdown detection | HOMER software | DC optimal power flow | prosumer | constrained parameter estimation | distributed generations (DGs) | strong track filter (STF) | transient stability | calibration | cost minimization | radiance | decentralized and collaborative optimization | hybrid renewable energy system | renewable energy sources | rural electrification | distribution network reconfiguration | interval variables | optimization methods | particle swarm optimization | hierarchical scheduling | micro grid | AC/DC hybrid active distribution | consensus | artificial bee colony | CCHP system | data center | support vector machine | affinity propagation clustering | extended Kalman filter | affine arithmetic | linear discriminant analysis (LDA) | current margins | heterogeneous networks | Cameroon | hybrid method | distributed heat-electricity energy management | discrete wind driven optimization | fitness function | cross-entropy | GenOpt | wind energy | demand uncertainty | off-design performance | genetic algorithm | energy storage | the biomimetic membrane computing | power system optimization | electric vehicle | power architectures | economic load dispatch problem (ELD) | runner-root algorithm (RRA) | Cable joint | battery energy storage system | load curtailment | integration assessment | power system unit commitment | artificial lighting | power flow | 80-2000 | hybrid membrane computing | two-point estimation method | low-voltage networks | demand bidding | non-sinusoidal circuits | energy flow model | power transfer distribution factors | sustainability | HVAC system | voltage deviation | street light points | radial basis function | energy storage system | charging/discharging | power systems | intelligent scatter search | MV/LV substation | optimal power flow | stochastic state estimation | eight searching sub-regions | chaos optimization algorithm (COA) | mutual information theory | inter-turn shorted-circuit fault (ISCF) | C&I particle swarm optimization | multiobjective optimization | passive shielding | sub-Saharan Africa | micro-phasor measurement unit | geometric algebra | bio-inspired algorithms | adaptive consensus algorithm | energy management | PCS efficiency | multi-stakeholders | generalized generation distribution factors | the genetic algorithm based P system | JAYA algorithm | thermal probability density | power optimization | pumped-hydro energy storage | smart grid | two-stage feature selection | piecewise linear techniques | photovoltaic | SOCP relaxations | switched reluctance machine (SRM) | optimal reactive power dispatch | optimal operation | controllable response | off-grid | active shielding | transformer-fault diagnosis | principal component analysis | demand response
eBook
01/2019, ISBN 9783039211319
n/a | Stackelberg game | MILP | optimal congestion threshold | magnetic field mitigation | simulation | multi-objective particle swarm optimization | virtual power plant | internal defect | day-ahead load forecasting | neural network | modular predictor | multi-objective particle swarm optimization algorithm | stochastic optimization | dragonfly algorithm | unit commitment | metaheuristic | multi-population method (MP) | optimization | tabu search | considerable decomposition | loss minimization | active distribution system | islanded microgrid | dynamic solving framework | feature selection | electric energy costs | power factor compensation | dependability | interactive load | overhead | energy internet | evolutionary computation | wind power | developed grew wolf optimizer | underground | ETAP | IEEE Std | fuzzy algorithm | electric vehicles | Schwarz’s equation | evolutionary algorithms | electric power contracts | congestion management | optimizing-scenarios method | building energy management system | particle encoding method | ringdown detection | HOMER software | DC optimal power flow | prosumer | constrained parameter estimation | distributed generations (DGs) | strong track filter (STF) | transient stability | calibration | cost minimization | radiance | decentralized and collaborative optimization | hybrid renewable energy system | renewable energy sources | rural electrification | distribution network reconfiguration | interval variables | optimization methods | particle swarm optimization | hierarchical scheduling | micro grid | AC/DC hybrid active distribution | consensus | artificial bee colony | CCHP system | data center | support vector machine | affinity propagation clustering | extended Kalman filter | affine arithmetic | linear discriminant analysis (LDA) | current margins | heterogeneous networks | Cameroon | hybrid method | distributed heat-electricity energy management | discrete wind driven optimization | fitness function | cross-entropy | GenOpt | wind energy | demand uncertainty | off-design performance | genetic algorithm | energy storage | the biomimetic membrane computing | power system optimization | electric vehicle | power architectures | economic load dispatch problem (ELD) | runner-root algorithm (RRA) | Cable joint | battery energy storage system | load curtailment | integration assessment | power system unit commitment | artificial lighting | power flow | 80-2000 | hybrid membrane computing | two-point estimation method | low-voltage networks | demand bidding | non-sinusoidal circuits | energy flow model | power transfer distribution factors | sustainability | HVAC system | voltage deviation | street light points | radial basis function | energy storage system | charging/discharging | power systems | intelligent scatter search | MV/LV substation | optimal power flow | stochastic state estimation | eight searching sub-regions | chaos optimization algorithm (COA) | mutual information theory | inter-turn shorted-circuit fault (ISCF) | C&I particle swarm optimization | multiobjective optimization | passive shielding | sub-Saharan Africa | micro-phasor measurement unit | geometric algebra | bio-inspired algorithms | adaptive consensus algorithm | energy management | PCS efficiency | multi-stakeholders | generalized generation distribution factors | the genetic algorithm based P system | JAYA algorithm | thermal probability density | power optimization | pumped-hydro energy storage | smart grid | two-stage feature selection | piecewise linear techniques | photovoltaic | SOCP relaxations | switched reluctance machine (SRM) | optimal reactive power dispatch | optimal operation | controllable response | off-grid | active shielding | transformer-fault diagnosis | principal component analysis | demand response
eBook