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Computer Science
Brazil
2026

D-Index & Metrics

Computer Science

D-Index
59
Citations
9668
World Ranking
3502
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Brazil Leader Award

Overview

Viviana Cocco Mariani is affiliated with Pontifícia Universidade Católica do Paraná in Brazil. Their research primarily spans the fields of Engineering and Computer Science, with a particular focus on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research, and Mechanical Engineering.

The main topics addressed in their work include Energy Load and Power Forecasting, Grey System Theory Applications, Machine Fault Diagnosis Techniques, Metaheuristic Optimization Algorithms Research, Anomaly Detection Techniques and Applications, Advanced Multi-Objective Optimization Algorithms, and Fault Detection and Control Systems.

They have authored a number of papers, including:

  • Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil, 2020, Chaos Solitons & Fractals
  • Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network, 2020, Energy Conversion and Management
  • A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting, 2020, Energy
  • Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting, 2021, International Journal of Electrical Power & Energy Systems
  • Optimized hybrid ensemble learning approaches applied to very short-term load forecasting, 2023, International Journal of Electrical Power & Energy Systems

Their frequent co-authors include:

  • Leandro dos Santos Coelho (84 joint publications)
  • Stéfano Frizzo Stefenon (24 joint publications)
  • Matheus Henrique Dal Molin Ribeiro (22 joint publications)
  • Laio Oriel Seman (22 joint publications)
  • Ramon Gomes da Silva (16 joint publications)

Viviana Cocco Mariani's research findings are regularly published in several venues, with consistent contributions to:

  • Sensors (8 publications)
  • International Journal of Electrical Power & Energy Systems (7 publications)
  • Procceedings of the 18th Brazilian Congress of Thermal Sciences and Engineering (7 publications)
  • Energy (6 publications)
  • Proceedings of the 26th International Congress of Mechanical Engineering (6 publications)

Best Publications

  • Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil.

    Matheus Henrique Dal Molin Ribeiro;Matheus Henrique Dal Molin Ribeiro;Ramon Gomes da Silva;Viviana Cocco Mariani;Viviana Cocco Mariani;Leandro dos Santos Coelho;Leandro dos Santos Coelho

  • Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization

    Leandro dos Santos Coelho;Viviana Cocco Mariani

  • An improved harmony search algorithm for power economic load dispatch

    Leandro dos Santos Coelho;Viviana Cocco Mariani

  • Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

    Sinvaldo Rodrigues Moreno;Sinvaldo Rodrigues Moreno;Ramon Gomes da Silva;Viviana Cocco Mariani;Viviana Cocco Mariani;Leandro dos Santos Coelho;Leandro dos Santos Coelho

  • A novel chaotic particle swarm optimization approach using Hénon map and implicit filtering local search for economic load dispatch

    Leandro dos Santos Coelho;Viviana Cocco Mariani

  • Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects

    Leandro dos Santos Coelho;Viviana Cocco Mariani

  • Improved firefly algorithm approach applied to chiller loading for energy conservation

    Leandro dos Santos Coelho;Leandro dos Santos Coelho;Viviana Cocco Mariani;Viviana Cocco Mariani

  • Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning

    Leandro Dos Santos Coelho;Viviana Cocco Mariani

  • A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

    Ramon Gomes da Silva;Matheus Henrique Dal Molin Ribeiro;Matheus Henrique Dal Molin Ribeiro;Sinvaldo Rodrigues Moreno;Viviana Cocco Mariani;Viviana Cocco Mariani

  • A chaotic firefly algorithm applied to reliability-redundancy optimization

    Leandro dos Santos Coelho;Diego Luis de Andrade Bernert;Viviana Cocco Mariani

  • Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems

    Leandro dos Santos Coelho;Rodrigo Clemente Thom Souza;Viviana Cocco Mariani

  • Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

    Matheus Henrique Dal Molin Ribeiro;Matheus Henrique Dal Molin Ribeiro;Ramon Gomes da Silva;Sinvaldo Rodrigues Moreno;Viviana Cocco Mariani;Viviana Cocco Mariani

  • Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints

    Leandro dos Santos Coelho;Viviana Cocco Mariani

  • Design of heat exchangers using Falcon Optimization Algorithm

    Emerson Hochsteiner de Vasconcelos Segundo;Viviana Cocco Mariani;Viviana Cocco Mariani;Leandro dos Santos Coelho;Leandro dos Santos Coelho

  • An efficient cultural self-organizing migrating strategy for economic dispatch optimization with valve-point effect

    Leandro dos Santos Coelho;Viviana Cocco Mariani

  • Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting

    Gabriel Trierweiler Ribeiro;Viviana Cocco Mariani;Viviana Cocco Mariani;Leandro dos Santos Coelho;Leandro dos Santos Coelho

  • A chaotic quantum-behaved particle swarm approach applied to optimization of heat exchangers

    Viviana Cocco Mariani;Anderson Rodrigo Klassen Duck;Fabio Alessandro Guerra;Leandro dos Santos Coelho

  • Multi-objective optimization of the environmental-economic dispatch with reinforcement learning based on non-dominated sorting genetic algorithm

    Teodoro Cardoso Bora;Viviana Cocco Mariani;Viviana Cocco Mariani;Leandro dos Santos Coelho;Leandro dos Santos Coelho

  • Modified imperialist competitive algorithm based on attraction and repulsion concepts for reliability-redundancy optimization

    Leonardo Dallegrave Afonso;Viviana Cocco Mariani;Leandro Dos Santos Coelho

  • Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

    Ramon Gomes da Silva;Matheus Henrique Dal Molin Ribeiro;Matheus Henrique Dal Molin Ribeiro;Viviana Cocco Mariani;Viviana Cocco Mariani;Leandro dos Santos Coelho;Leandro dos Santos Coelho

  • Image thresholding segmentation based on a novel beta differential evolution approach

    Helon Vicente Hultmann Ayala;Fernando Marins dos Santos;Viviana Cocco Mariani;Leandro dos Santos Coelho

Frequent Co-Authors

Leandro dos Santos Coelho
Leandro dos Santos Coelho Federal University of Paraná
Alireza Askarzadeh
Alireza Askarzadeh Graduate University of Advanced Technology
Sotirios K. Goudos
Sotirios K. Goudos Aristotle University of Thessaloniki
Panagiotis G. Sarigiannidis
Panagiotis G. Sarigiannidis University of Western Macedonia

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