2023 - Research.com Computer Science in Portugal Leader Award
2022 - Research.com Engineering and Technology in Portugal Leader Award
Her main research concerns Smart grid, Distributed generation, Demand response, Electricity and Electric power system. The various areas that Zita Vale examines in her Smart grid study include Distribution networks, Real-time computing, Distributed computing and Renewable energy. Zita Vale has researched Distributed generation in several fields, including Particle swarm optimization, AC power, Simulation, Optimization problem and Vehicle-to-grid.
Her studies in Demand response integrate themes in fields like Demand patterns, Mathematical optimization, Load management, Environmental economics and Operations research. Her Electricity research focuses on Electricity market in particular. The Electric power system study combines topics in areas such as Fuzzy logic, SCADA, Risk analysis and Component.
Electricity, Smart grid, Demand response, Distributed generation and Electric power system are her primary areas of study. Her Electricity research incorporates themes from Environmental economics, Industrial organization, Decision support system and Renewable energy. Zita Vale interconnects Real-time computing, Distributed computing, Cluster analysis and Simulation in the investigation of issues within Smart grid.
Her Demand response study combines topics in areas such as Energy management, News aggregator, Remuneration, Load management and Operations research. Her Distributed generation study combines topics from a wide range of disciplines, such as Resource, Mathematical optimization, AC power, Electricity generation and Scheduling. Her Electric power system research integrates issues from Wind power, Expert system, Control engineering, Control and SCADA.
Her primary areas of investigation include Demand response, Smart grid, Electricity, Distributed generation and Renewable energy. Zita Vale has included themes like News aggregator, Energy consumption, Remuneration, Environmental economics and Operations research in her Demand response study. Zita Vale combines subjects such as Multi-agent system, Microgrid, Distributed computing and Electric power system with her study of Smart grid.
Her Electricity study focuses on Electricity market in particular. Her work carried out in the field of Distributed generation brings together such families of science as Business model, Resource and Scheduling. Her work on Renewable resource as part of general Renewable energy study is frequently linked to Energy resources, bridging the gap between disciplines.
Zita Vale focuses on Demand response, Smart grid, Distributed generation, Environmental economics and Operations research. The study incorporates disciplines such as Energy consumption, Renewable resource, News aggregator and Remuneration in addition to Demand response. Her research integrates issues of Multi-agent system, Risk analysis, Distributed computing and Electric power system in her study of Smart grid.
Her research is interdisciplinary, bridging the disciplines of Particle swarm optimization and Electric power system. Her Distributed generation research is multidisciplinary, incorporating elements of Business model, Scheduling and Cluster analysis. Zita Vale usually deals with Environmental economics and limits it to topics linked to Renewable energy and Optimization problem and Evolutionary algorithm.
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Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming
Hugo Morais;Péter Kádár;Pedro Faria;Zita A. Vale.
(2010)
Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming
Hugo Morais;Péter Kádár;Pedro Faria;Zita A. Vale.
(2010)
An electric energy consumer characterization framework based on data mining techniques
V. Figueiredo;F. Rodrigues;Z. Vale;J.B. Gouveia.
(2005)
An electric energy consumer characterization framework based on data mining techniques
V. Figueiredo;F. Rodrigues;Z. Vale;J.B. Gouveia.
(2005)
Demand response in electrical energy supply: An optimal real time pricing approach
Pedro Faria;Zita Vale.
(2011)
Demand response in electrical energy supply: An optimal real time pricing approach
Pedro Faria;Zita Vale.
(2011)
MASCEM: a multiagent system that simulates competitive electricity markets
I. Praca;C. Ramos;Z. Vale;M. Cordeiro.
(2003)
MASCEM: a multiagent system that simulates competitive electricity markets
I. Praca;C. Ramos;Z. Vale;M. Cordeiro.
(2003)
Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach
T. Sousa;H. Morais;Z. Vale;P. Faria.
(2012)
Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach
T. Sousa;H. Morais;Z. Vale;P. Faria.
(2012)
Sustainable Energy, Grids and Networks
(Impact Factor: 5.405)
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