Similar Items: Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids
- Distributed Energy Resources Management 2018
- Optimization Methods Applied to Power Systems: Volume 2
- Optimization Methods Applied to Power Systems: Volume 1
- Digital Technology for Smart Grid. Innovative Algorithmic Solutions for Engineering Problems
- Microgrids
- Smart Grid Analytics for Sustainability and Urbanization in Big Data
- Optimization Methods Applied to Power Systems Ⅱ
- Optimal Control of Hybrid Systems and Renewable Energies
- Application of Intelligent Techniques in Power System Stability, Control and Protection
- Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment
- Distributed Energy Resources Management
- Microgrids/Nanogrids Implementation, Planning, and Operation
- Sustainable Energy Systems: Emerging Technologies and Practices in Renewable Energy Storage
- Optimization and Energy Management in Smart Grids
- Symmetry in Renewable Energy and Power Systems
- Optimization and Control in Energy Management: Mathematical Modeling and Simulation
- Renewable-Based Microgrids: Design, Control and Optimization
- Optimisation Models and Methods in Energy Systems
- Grid-Connected Renewable Energy Sources
- Standalone Renewable Energy Systems
- Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid
- Data-Intensive Computing in Smart Microgrids
- Microgrids: Planning, Protection and Control
- Integration of Renewables in Power Systems by Multi-Energy System Interaction
Topic: hybrid renewable energy system
- Topic: annualized system cost
- Topic: optimal solution
- Topic: convergence rate
- Topic: renewable energy fraction
- Topic: artificial intelligent algorithms
- Topic: energy conservation
- Topic: pareto analysis
- Topic: energy consumption
- Topic: eQUEST
- Topic: Revit
- Topic: value methodology
- Topic: distributed generator
- Topic: D-STATCOM
- Topic: fuzzy logic controller
- Topic: genetic algorithm
- Topic: power quality
- Topic: wind power integration
- Topic: low-frequency oscillations (LFOs)
- Topic: doubly-fed induction generators (DFIGs)
- Topic: power system stability
- Topic: damping characteristics
- Topic: dynamic economic environmental dispatch
- Topic: cow search algorithm
- Topic: seagull optimization algorithm
- Topic: tunicate swarm algorithm
- Topic: firefly algorithm
- Topic: optimal scheduling
- Topic: optimization methods
- Topic: dynamic thermal rating
- Topic: probabilistic energy demand
- Topic: two points approximation scheme
- Topic: wind power
- Topic: congestion management
- Topic: electricity optimization
- Topic: MPSO multi-objective optimization
- Topic: suitability
- Topic: power system stabilizer
- Topic: static synchronous series compensator
- Topic: type-2 fuzzy lead–lag controller
- Topic: differential evolution
- Topic: pattern search
- Topic: smart grid
- Topic: modern transportation system
- Topic: hybrid blockchain technology
- Topic: EV mobility
- Topic: machine learning
- Topic: synergetic control (SC) law
- Topic: fuzzy neural network (FNN) approximator
- Topic: fast terminal synergetic controller (FTSC)
- Topic: finite-time convergence
- Topic: DC/DC buck converter
- Topic: market price prediction
- Topic: modeling and management
- Topic: optimization
- Topic: renewable energy sources
- Topic: energy storage system (ESS)
- Topic: synchronverter
- Topic: wind energy
- Topic: frequency modulation (FM)
- Topic: capacity configuration
- Topic: microgrid
- Topic: binary orientation search algorithm
- Topic: demand side management
- Topic: real-time pricing
- Topic: energy management
- Topic: multi-objective management
- Topic: generation power uncertainty
- Topic: operating cost
- Topic: demand response
- Topic: energy
- Topic: smart-grid
- Topic: grid operator
- Topic: industrial customer
- Topic: Stackelberg–particle swarm optimization
- Topic: MPPT
- Topic: incremental conductance (IncCond)
- Topic: differential inverter
- Topic: differential flyback inverter (DFI)
- Topic: high-frequency transformer (HFT)
- Topic: continuous modulation scheme (CMS)
- Topic: harmonic compensation
- Topic: renewable Resources
- Topic: microgrids
- Topic: generation efficiency
- Topic: battery energy storage system
- Topic: service scheduling
- Topic: hybrid genetic algorithms
- Topic: simulated annealing algorithms
- Topic: tourism services
- Topic: sustainability tourism
- Topic: gas-insulated switchgear
- Topic: failure prediction
- Topic: parameter optimization
- Topic: improved particle swarm optimization algorithm
- Topic: active distribution network
- Topic: relay protection
- Topic: vector inspection
- Topic: back-to-back converter
- Topic: stability
- Topic: microgrid control
- Topic: distribution networks
- Topic: power electronics
- Topic: Gaussian distribution
- Topic: M-estimator
- Topic: power system state estimation
- Topic: precision
- Topic: robustness
- Topic: weighted least square method
- Topic: electric vehicles
- Topic: energy storage systems
- Topic: transmission lines planning
- Topic: multi-objective Gazelle optimization algorithm
- Topic: energy internet
- Topic: energy router
- Topic: common bus voltage
- Topic: cooperative control
- Topic: model transformation
- Topic: optimum power flow
- Topic: improved teaching–learning optimization
- Topic: heat and electrical demands
- Topic: combined heat and electricity systems
- Topic: photovoltaic cells
- Topic: modeling
- Topic: parameters estimation
- Topic: MSGO algorithm
- Topic: artificial neural network (ANN)
- Topic: solar photovoltaic (PV)
- Topic: maximum power point tracking
- Topic: Levenberg–Marquardt (LM)
- Topic: Bayesian regularization (BR)
- Topic: scaled conjugate gradient (SCG)
- Topic: resilient backpropagation (RP)
- Topic: blockchain
- Topic: local energy trading
- Topic: oracle networks
- Topic: peer-to-peer
- Topic: virtual power plant
- Topic: distributed energy resource
- Topic: distribution network planning
- Topic: distributed energy storage system
- Topic: flexibility quantization
- Topic: improved k-means clustering algorithm
- Topic: economic analysis
- Topic: hosting capacity
- Topic: market price
- Topic: bi-level optimization
- Topic: sodium–sulfur batteries
- Topic: uncertainty
- Topic: thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
- Microgrids/Nanogrids Implementation, Planning, and Operation
- Optimization Methods Applied to Power Systems: Volume 2
- Optimization Methods Applied to Power Systems: Volume 1
- Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids
Topic: bonobo optimizer
- Topic: annualized system cost
- Topic: optimal solution
- Topic: convergence rate
- Topic: renewable energy fraction
- Topic: artificial intelligent algorithms
- Topic: energy conservation
- Topic: pareto analysis
- Topic: energy consumption
- Topic: eQUEST
- Topic: Revit
- Topic: value methodology
- Topic: distributed generator
- Topic: D-STATCOM
- Topic: fuzzy logic controller
- Topic: genetic algorithm
- Topic: power quality
- Topic: wind power integration
- Topic: low-frequency oscillations (LFOs)
- Topic: doubly-fed induction generators (DFIGs)
- Topic: power system stability
- Topic: damping characteristics
- Topic: dynamic economic environmental dispatch
- Topic: cow search algorithm
- Topic: seagull optimization algorithm
- Topic: tunicate swarm algorithm
- Topic: firefly algorithm
- Topic: optimal scheduling
- Topic: optimization methods
- Topic: dynamic thermal rating
- Topic: probabilistic energy demand
- Topic: two points approximation scheme
- Topic: wind power
- Topic: congestion management
- Topic: electricity optimization
- Topic: MPSO multi-objective optimization
- Topic: suitability
- Topic: power system stabilizer
- Topic: static synchronous series compensator
- Topic: type-2 fuzzy lead–lag controller
- Topic: differential evolution
- Topic: pattern search
- Topic: smart grid
- Topic: modern transportation system
- Topic: hybrid blockchain technology
- Topic: EV mobility
- Topic: machine learning
- Topic: synergetic control (SC) law
- Topic: fuzzy neural network (FNN) approximator
- Topic: fast terminal synergetic controller (FTSC)
- Topic: finite-time convergence
- Topic: DC/DC buck converter
- Topic: market price prediction
- Topic: modeling and management
- Topic: optimization
- Topic: renewable energy sources
- Topic: energy storage system (ESS)
- Topic: synchronverter
- Topic: wind energy
- Topic: frequency modulation (FM)
- Topic: capacity configuration
- Topic: microgrid
- Topic: binary orientation search algorithm
- Topic: demand side management
- Topic: real-time pricing
- Topic: energy management
- Topic: multi-objective management
- Topic: generation power uncertainty
- Topic: operating cost
- Topic: demand response
- Topic: energy
- Topic: smart-grid
- Topic: grid operator
- Topic: industrial customer
- Topic: Stackelberg–particle swarm optimization
- Topic: MPPT
- Topic: incremental conductance (IncCond)
- Topic: differential inverter
- Topic: differential flyback inverter (DFI)
- Topic: high-frequency transformer (HFT)
- Topic: continuous modulation scheme (CMS)
- Topic: harmonic compensation
- Topic: renewable Resources
- Topic: microgrids
- Topic: generation efficiency
- Topic: battery energy storage system
- Topic: service scheduling
- Topic: hybrid genetic algorithms
- Topic: simulated annealing algorithms
- Topic: tourism services
- Topic: sustainability tourism
- Topic: gas-insulated switchgear
- Topic: failure prediction
- Topic: parameter optimization
- Topic: improved particle swarm optimization algorithm
- Topic: active distribution network
- Topic: relay protection
- Topic: vector inspection
- Topic: back-to-back converter
- Topic: stability
- Topic: microgrid control
- Topic: distribution networks
- Topic: power electronics
- Topic: Gaussian distribution
- Topic: M-estimator
- Topic: power system state estimation
- Topic: precision
- Topic: robustness
- Topic: weighted least square method
- Topic: electric vehicles
- Topic: energy storage systems
- Topic: transmission lines planning
- Topic: multi-objective Gazelle optimization algorithm
- Topic: energy internet
- Topic: energy router
- Topic: common bus voltage
- Topic: cooperative control
- Topic: model transformation
- Topic: optimum power flow
- Topic: improved teaching–learning optimization
- Topic: heat and electrical demands
- Topic: combined heat and electricity systems
- Topic: photovoltaic cells
- Topic: modeling
- Topic: parameters estimation
- Topic: MSGO algorithm
- Topic: artificial neural network (ANN)
- Topic: solar photovoltaic (PV)
- Topic: maximum power point tracking
- Topic: Levenberg–Marquardt (LM)
- Topic: Bayesian regularization (BR)
- Topic: scaled conjugate gradient (SCG)
- Topic: resilient backpropagation (RP)
- Topic: blockchain
- Topic: local energy trading
- Topic: oracle networks
- Topic: peer-to-peer
- Topic: virtual power plant
- Topic: distributed energy resource
- Topic: distribution network planning
- Topic: distributed energy storage system
- Topic: flexibility quantization
- Topic: improved k-means clustering algorithm
- Topic: economic analysis
- Topic: hosting capacity
- Topic: market price
- Topic: bi-level optimization
- Topic: sodium–sulfur batteries
- Topic: uncertainty
- Topic: thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics