Editorial Board for section 'F5: Artificial Intelligence and Smart Energy'
- A: Sustainable Energy Section
- A1: Smart Grids and Microgrids Section
- A2: Solar Energy and Photovoltaic Systems Section
- A3: Wind, Wave and Tidal Energy Section
- A4: Bio-Energy Section
- A5: Hydrogen Energy Section
- B: Energy and Environment Section
- B1: Energy and Climate Change Section
- B3: Carbon Emission and Utilization Section
- B4: Nuclear Energy Section
- C: Energy Economics and Policy Section
- D: Energy Storage and Application Section
- D1: Advanced Energy Materials Section
- D2: Electrochem: Batteries, Fuel Cells, Capacitors Section
- D3: Nanoenergy Section
- E: Electric Vehicles Section
- F: Electrical Engineering Section
- F1: Electrical Power System Section
- F2: Distributed Energy System Section
- F3: Power Electronics Section
- F4: Critical Energy Infrastructure Section
- F5: Artificial Intelligence and Smart Energy Section
- F6: High Voltage Section
- G: Energy and Buildings Section
- G1: Smart Cities and Urban Management Section
- G2: Phase Change Materials for Energy Storage Section
- H: Geo-Energy Section
- H1: Petroleum Engineering Section
- H2: Geothermal Section
- H3: Fossil Section
- I: Energy Fundamentals and Conversion Section
- I1: Fuel Section
- I2: Energy and Combustion Science Section
- I3: Energy Chemistry Section
- J: Thermal Management Section
- J1: Heat and Mass Transfer Section
- J2: Thermodynamics Section
- J3: Exergy Section
- K: State-of-the-Art Energy Related Technologies Section
- L: Energy Sources Section
Please see the section webpage for more information on this section.
Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.
Members
2. LABBELS—Associate Laboratory, University of Minho, 4710-057 Braga, Portugal
3. Department of Industrial Electronics, University of Minho, Campus of Azurém, 4800-058 Guimarães, Portugal
Interests: internet of things; wireless sensor networks; body sensor network; mobile phone sensing; quality of service; medium access control
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Interests: control; simulation; optimization; fractional calculus; evolutionary algorithms; artificial intelligence
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Interests: artificial intelligence; dynamical systems; theory; load forecasting; wind turbine; power industry
Interests: power system state estimation; cyber physical systems security; machine learning; artificial intelligence; power system protection and control
Interests: metallurgy; steel; modelling; simulation; sustainability; circular economy
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Interests: consumption; data centers; scientific workflows; machine learning; soft computing; artificial intelligence; optical communications; cloud computing
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Interests: power system protection; real-time simulation; hardware in the loop; cyber-physical systems; artificial intelligence
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2. Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, H-8200 Veszprém, Hungary
Interests: dynamic modelling; diagnosis and control of energy/process systems; nonlinear systems; intelligent systems
Interests: smart grid; control and planning for microgrid; intelligent methods applied to power systems
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Interests: power electronic converters for smart grids; power and energy; instrumentation, controls and automation; mechatronics and intelligent systems; robotics; signal processing
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Interests: neural networks; adaptive control; fuzzy logic; optimization of control structures using nature-inspired techniques; hardware implementations (FPGA, DSP, microcontrollers) of algorithms based on artificial intelligence; electrical drives; machine learning; digital image processing
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Interests: artificial intelligence; machine learning and adaptive intelligent systems; limited and big data modelling; Industry 4.0 and Education 4.0
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Interests: intelligent robotics; cognitive vehicles; autonomous driving; artificial intelligence; machine learning; computational neuroscience
Interests: dynamic optimization of large-scale systems; stochastic optimization under uncertainty; optimization of hybrid systems; real-time optimization, parameter identification; nonlinear model predictive control; applications: energy systems engineering; management of water resources systems; systems biology; chemical process engineering; autonomous driving
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Interests: smart grid data and information security; wireless sensor; cyber-physical systems; Internet of Things (IoT)
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Interests: renewable energy; smart microgrid; control; estimation; artificial intelligence; automation; robotics
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Interests: expert systems and knowledge representation; fuzzy cognitive maps, artificial intelligence; modeling and prediction; decision support systems; data mining; machine learning; medical decision making
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Interests: data science; social computing; data-driven user analysis; application of artificial intelligence
Interests: multi-agent systems; agent-mediated negotiation; mechanism design; applications in smart energy grids
Interests: complex system simulation, design and optimisation; artificial intelligence and advanced control systems; power and energy architectures and electrical machines, drives and systems; energy conversion and storage; remote monitoring and sensing; prognostics and diagnostics; low carbon and low emissions operations
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Interests: power system stability and control; smart grids and microgrids; electric vehicle research; electric vehicle battery; electric power train; autonomous control and its networked robotics
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Interests: neural network; memristor system; deep learning; intelligent control
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Interests: energy conversion and control; artificial intelligence and machine learning; modelling and control of complex industrial processes; networked control systems; fault diagnosis and fault-tolerant control
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Interests: advanced combustion of low-carbon fuel; advanced power system of green energy; digital twin and machine learning in traffic industry
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2. Energy Department, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy
Interests: risk assessment; reliability analysis; simulation; artificial intelligence; nuclear systems
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