D-Index & Metrics Best Publications
Engineering and Technology
Portugal
2022
Computer Science
Portugal
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 53 Citations 9,519 539 World Ranking 1225 National Ranking 5
Computer Science D-index 52 Citations 10,373 722 World Ranking 3367 National Ranking 6

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Portugal Leader Award

2022 - Research.com Engineering and Technology in Portugal Leader Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Operating system
  • Machine learning

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.

Her most cited work include:

  • Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming (389 citations)
  • An electric energy consumer characterization framework based on data mining techniques (360 citations)
  • Demand response in electrical energy supply: An optimal real time pricing approach (240 citations)

What are the main themes of her work throughout her whole career to date?

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.

She most often published in these fields:

  • Electricity (29.50%)
  • Smart grid (28.04%)
  • Demand response (27.25%)

What were the highlights of her more recent work (between 2017-2021)?

  • Demand response (27.25%)
  • Smart grid (28.04%)
  • Electricity (29.50%)

In recent papers she was focusing on the following fields of study:

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.

Between 2017 and 2021, her most popular works were:

  • Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems (75 citations)
  • Towards transactive energy systems: An analysis on current trends (37 citations)
  • Stochastic interval-based optimal offering model for residential energy management systems by household owners (31 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Machine learning

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

604 Citations

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)

604 Citations

An electric energy consumer characterization framework based on data mining techniques

V. Figueiredo;F. Rodrigues;Z. Vale;J.B. Gouveia.
(2005)

555 Citations

An electric energy consumer characterization framework based on data mining techniques

V. Figueiredo;F. Rodrigues;Z. Vale;J.B. Gouveia.
(2005)

555 Citations

Demand response in electrical energy supply: An optimal real time pricing approach

Pedro Faria;Zita Vale.
(2011)

367 Citations

Demand response in electrical energy supply: An optimal real time pricing approach

Pedro Faria;Zita Vale.
(2011)

367 Citations

MASCEM: a multiagent system that simulates competitive electricity markets

I. Praca;C. Ramos;Z. Vale;M. Cordeiro.
(2003)

339 Citations

MASCEM: a multiagent system that simulates competitive electricity markets

I. Praca;C. Ramos;Z. Vale;M. Cordeiro.
(2003)

339 Citations

Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach

T. Sousa;H. Morais;Z. Vale;P. Faria.
(2012)

249 Citations

Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach

T. Sousa;H. Morais;Z. Vale;P. Faria.
(2012)

249 Citations

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