What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Mathematical optimization
His scientific interests lie mostly in Smart grid, Distributed generation, Demand response, Electric power system and Distributed computing.
Smart grid combines with fields such as Load management, Simulation, Real-time computing, Electric vehicle and Distribution networks in his research.
His studies deal with areas such as Dynamic priority scheduling, Round-robin scheduling, Two-level scheduling, Multi-agent system and Scheduling as well as Simulation.
His Distributed generation study incorporates themes from Optimization problem, Particle swarm optimization, Vehicle-to-grid and Virtual power.
His work deals with themes such as Management system, Operations management, Demand patterns, Resource and Event, which intersect with Demand response.
His studies in Electric power system integrate themes in fields like Electricity generation and Revenue.
His most cited work include:
- Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming (389 citations)
- Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects (190 citations)
- Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach (164 citations)
What are the main themes of his work throughout his whole career to date?
Hugo Morais mostly deals with Distributed generation, Smart grid, Electric power system, Demand response and Electricity market.
His Distributed generation study combines topics from a wide range of disciplines, such as Real-time computing, Mathematical optimization, AC power, Scheduling and Operations research.
His Electric power system study integrates concerns from other disciplines, such as News aggregator, Electric vehicle, Control engineering, Risk analysis and Electricity generation.
His Demand response research includes themes of Network simulation, Dynamic demand, SCADA and Energy storage.
His Electricity market research is multidisciplinary, relying on both Adaptive learning, Multi-agent system, Decision support system, Environmental economics and Industrial organization.
His work carried out in the field of Multi-agent system brings together such families of science as Ontology, Intelligent agent, Restructuring, Order and Simulation.
He most often published in these fields:
- Distributed generation (52.51%)
- Smart grid (43.38%)
- Electric power system (35.62%)
What were the highlights of his more recent work (between 2015-2021)?
- Distributed generation (52.51%)
- Electric power system (35.62%)
- Mathematical optimization (17.81%)
In recent papers he was focusing on the following fields of study:
Hugo Morais focuses on Distributed generation, Electric power system, Mathematical optimization, Smart grid and Electric vehicle.
His Distributed generation research is multidisciplinary, incorporating elements of Distribution networks, Robust optimization, Industrial organization and News aggregator.
He interconnects Electricity generation, Scheduling, Knowledge management and Revenue in the investigation of issues within Electric power system.
His study in the field of Optimization problem, Simulated annealing, Scheduling and Multiobjective optimization problem also crosses realms of Convex function.
His Electric vehicle research integrates issues from Transmission system operator, Control engineering, Power management, Opportunity cost and Cost reduction.
His research investigates the connection with Process and areas like Multi-agent system which intersect with concerns in Distributed computing.
Between 2015 and 2021, his most popular works were:
- Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects (190 citations)
- Optimal Offering Strategies for Wind Power in Energy and Primary Reserve Markets (51 citations)
- Adaptive Portfolio Optimization for Multiple Electricity Markets Participation (48 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Microeconomics
His primary areas of investigation include Electric vehicle, Electric power system, Smart grid, Distributed generation and Electricity generation.
The study incorporates disciplines such as Control engineering, Battery, Reduction and Control theory in addition to Electric vehicle.
His Electric power system research is multidisciplinary, incorporating perspectives in Real-time computing, Environmental economics, Revenue and Market environment.
His Smart grid research includes a combination of various areas of study, such as Distributed computing, Energy management, Simulation, Hierarchy and Virtual power plant.
His Distributed generation research includes elements of Robust optimization, Mathematical optimization, Call option and Stochastic game.
His research integrates issues of Fleet management, Wind power generation, Automotive engineering, Probabilistic logic and Vehicle-to-grid in his study of Electricity generation.
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