Zita Vale

About Zita Vale

Zita Vale, With an exceptional h-index of 63 and a recent h-index of 46 (since 2020), a distinguished researcher at Instituto Politécnico do Porto, specializes in the field of Power Systems, Smart grids, Artificial Intelligence, Demand response, Electricity Markets.

His recent articles reflect a diverse array of research interests and contributions to the field:

Congestion Management in Energy Communities Using a Two-Step Demand Response Methodology

Energy cost optimization through load shifting in a photovoltaic energy-sharing household community

Local electricity markets: A review on benefits, barriers, current trends and future perspectives

Costless renewable energy distribution model based on cooperative game theory for energy communities considering its members’ active contributions

Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II

Guidelines for WCCI (CEC)/GECCO 2024 Competition Evolutionary Computation in the Energy Domain: Optimal PV System Allocation

Empowering customers in local electricity market: A prosumer segmentation and operating envelope strategy for joint cost reduction and profit maximization

Households participation in energy communities with large integration of renewables

Zita Vale Information

University

Position

ISEP GECAD

Citations(all)

17132

Citations(since 2020)

9192

Cited By

11184

hIndex(all)

63

hIndex(since 2020)

46

i10Index(all)

349

i10Index(since 2020)

226

Email

University Profile Page

Google Scholar

Zita Vale Skills & Research Interests

Power Systems

Smart grids

Artificial Intelligence

Demand response

Electricity Markets

Top articles of Zita Vale

Congestion Management in Energy Communities Using a Two-Step Demand Response Methodology

IEEE Transactions on Industry Applications

2024/4/30

Energy cost optimization through load shifting in a photovoltaic energy-sharing household community

Renewable Energy

2024/2/1

Local electricity markets: A review on benefits, barriers, current trends and future perspectives

2024/2/1

Costless renewable energy distribution model based on cooperative game theory for energy communities considering its members’ active contributions

Sustainable Cities and Society

2024/2/1

Luis Gomes
Luis Gomes

H-Index: 17

Zita Vale
Zita Vale

H-Index: 40

Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II

2024/1/15

Zita Vale
Zita Vale

H-Index: 40

Catarina Silva
Catarina Silva

H-Index: 17

Guidelines for WCCI (CEC)/GECCO 2024 Competition Evolutionary Computation in the Energy Domain: Optimal PV System Allocation

2024/1

João Soares
João Soares

H-Index: 7

Zita Vale
Zita Vale

H-Index: 40

Empowering customers in local electricity market: A prosumer segmentation and operating envelope strategy for joint cost reduction and profit maximization

Electric Power Systems Research

2024/1/1

Households participation in energy communities with large integration of renewables

2024/1/1

Energy Community Integration of a Smart Home Based on an Open Source Multiagent System

2023/7/12

Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption

2023/12/2

A Novel Framework for Multiagent Knowledge-Based Federated Learning Systems

2023/7/12

Computational approaches for green computing of energy consumption forecasting on non-working periods in an office building

2023/12/2

A Multi-Agent System Empowered by Federated Learning and Genetic Programming

2023/7/5

A distributed robust ADMM-based model for the energy management in local energy communities

Sustainable Energy, Grids and Networks

2023/12/1

A Global Cyber-Resilient Model for Dynamic Line Rating Forecasting Based on Deep Federated Learning

IEEE Systems Journal

2023/7/4

Energy economics, electricity markets design and pricing methods

Energy Reports

2023/12

A novel cyber-Resilient solar power forecasting model based on secure federated deep learning and data visualization

Renewable Energy

2023/7/1

Optimizing House Energy Management with MILP Considering Shifting of Electric Appliances and Battery Storage System

2023/10/23

A Two-stage Stochastic Model for Coordinated Operation of Natural Gas and Microgrid Networks

2023/6/25

Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption

2023/10/23

See List of Professors in Zita Vale University(Instituto Politécnico do Porto)

Co-Authors

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