Data Mining in Smart Grids |
Autore | Vaccaro Alfredo |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (116 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
voltage regulation
smart grid decentralized control architecture multi-agent systems t-SNE algorithm numerical weather prediction data preprocessing data visualization wind power generation partial discharge gas insulated switchgear case-based reasoning data matching variational autoencoder DSHW TBATS NN-AR time-series clustering decentral smart grid control (DSGC) interpretable and accurate DSGC-stability prediction data mining computational intelligence fuzzy rule-based classifiers multi-objective evolutionary optimization power systems resilience dynamic Bayesian network Markov model probabilistic modeling resilience models |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557722403321 |
Vaccaro Alfredo | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Optimization Methods Applied to Power Systems Ⅱ |
Autore | Montoya Francisco G |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (350 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
electricity markets
economic dispatch optimization maximum capacity online operation power system unit commitment circuit breaker network modeling optimal power flow wind and solar energies gas insulated switchgear partial discharges electromagnetic wave propagation UHF measurement Security-Constraint Unit Commitment sensitivity factors user cuts power line communication (PLC) energy storage management vehicle to grid (V2G) smart grid multi-objective optimization population-based intelligent optimization algorithm multi-behavior combination algorithm framework Economic load dispatch (ELD) dragonfly algorithm metaheuristic particle swarm optimization cold-thermal-electricity integrated energy system multi-energy complementation feasible interval of load rate multi-objective multi time scales optimize operation earthing earthing system optimisation Ansys Maxwell sensitivity analysis touch voltage non-linear programming security-constrained OPF preventive control corrective control post-contingency overflow transmission line thermal inertia Three-phase optimal power flow voltage regulation distributed generation distribution transformer taps linear OPF problem shift-factors line outage distribution factors security-constrained corrective formulation preventive formulation klystron IOT resotrode efficiency microwave bunching computer simulation global optimization power quality disturbances classification feature selection swarm optimization support vector machine genetic algorithm K-NN algorithm decision tree S-transform optimization techniques hydroelectric renewable energy MCDM fuzzy theory FANP TOPSIS quadratically constrained quadratic programming contingency constrained optimal power flow isolated hybrid microgrid system (IHμGS) solar tower (ST) biodiesel power generator (BDPG) frequency regulation butterfly optimization technique (BOA) microgrid energy management electric vehicle microgrid energy efficiency |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557780003321 |
Montoya Francisco G | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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