TY  - BOOK
AU  - Montoya, Francisco G.||Baños Navarro, Raúl
TI  - Optimization Methods Applied to Power Systems: Volume 1
KW  - 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||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||UC||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||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||IEEE Std. 80-2000||principal component analysis||demand response
UR  - https://mdpi.com/books/pdfview/book/1449
ER  -