Pedro Faria

Pedro Faria

Instituto Politécnico do Porto

H-index: 32

Europe-Portugal

About Pedro Faria

Pedro Faria, With an exceptional h-index of 32 and a recent h-index of 25 (since 2020), a distinguished researcher at Instituto Politécnico do Porto, specializes in the field of Demand Response, Machine learning, Real-time Simulation, Smart Grid.

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

Households participation in energy communities with large integration of renewables

Production Line Energy Cost Optimization with Renewable Energy Resource Usage in a Flexible Job Shop Configuration

Demand Response Implementation: Overview of Europe and United States Status

Joint Production and Maintenance Scheduling for Total Cost and Machine Overload Reduction in Manufacturing: A Genetic Algorithm Approach

Production and Maintenance Scheduling for Total Cost and Machine Longevity Optimization

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

Pedro Faria Information

University

Position

GECAD

Citations(all)

5691

Citations(since 2020)

3098

Cited By

3708

hIndex(all)

32

hIndex(since 2020)

25

i10Index(all)

108

i10Index(since 2020)

76

Email

University Profile Page

Instituto Politécnico do Porto

Google Scholar

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Pedro Faria Skills & Research Interests

Demand Response

Machine learning

Real-time Simulation

Smart Grid

Top articles of Pedro Faria

Title

Journal

Author(s)

Publication Date

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

IEEE Transactions on Industry Applications

Helder Pereira

Ricardo Faia

Luis Gomes

Pedro Faria

Zita Vale

2024/4/30

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

Renewable Energy

Bruno Mota

Pedro Faria

Zita Vale

2024/2/1

Households participation in energy communities with large integration of renewables

Rúben Barreto

Calvin Gonçalves

Luis Gomes

Fabiano Maciel

Pedro Faria

...

2024/1/1

Production Line Energy Cost Optimization with Renewable Energy Resource Usage in a Flexible Job Shop Configuration

IFAC-PapersOnLine

Bruno Mota

Pedro Faria

Carlos Ramos

2023/1/1

Demand Response Implementation: Overview of Europe and United States Status

Cátia Silva

Pedro Faria

Zita Vale

2023/5/12

Joint Production and Maintenance Scheduling for Total Cost and Machine Overload Reduction in Manufacturing: A Genetic Algorithm Approach

IEEE Access

Bruno Mota

Pedro Faria

Carlos Ramos

2023/9/6

Production and Maintenance Scheduling for Total Cost and Machine Longevity Optimization

Bruno Mota

Pedro Faria

Bruno Canizes

Carlos Ramos

2023/6/12

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

Daniel Ramos

Pedro Faria

Zita Vale

2023/10/23

Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach

Bruno Mota

Pedro Faria

Carlos Ramos

2023/12/2

Building Energy Consumption Forecast under Different Anticipations on a Green Computation Perspective

IFAC-PapersOnLine

Daniel Ramos

Pedro Faria

Luis Gomes

Zita Vale

2023/1/1

A hierarchy model to use local resources by DSO and TSO in the balancing market

Energy

Meysam Khojasteh

Pedro Faria

Fernando Lezama

Zita Vale

2023/3/15

Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm

Bruno Mota

Daniel Ramos

Pedro Faria

Carlos Ramos

2023/9/5

Future of Energy Management Systems in Smart Cities: A Systematic Literature Review

Ubaid ur Rehman

Pedro Faria

Luis Gomes

Zita Vale

2023/6/10

Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the Members

Ruben Barreto

Luis Gomes

Pedro Faria

Zita Vale

2023/10/23

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

Daniel Ramos

Pedro Faria

Zita Vale

2023/12/2

Demand Response Programs for Peak Reduction Using Consumers Aggregation

IFAC-PapersOnLine

Modar Zheiry

Pedro Faria

Zita Vale

2023/1/1

MARTINE’s real-time local market simulation with a semantically interoperable society of multi-agent systems

Sustainable Energy, Grids and Networks

Gabriel Santos

Luís Gomes

Tiago Pinto

Pedro Faria

Zita Vale

2023/3/1

Joint Optimization of Production and Maintenance for Effective Manufacturing Using a Genetic Algorithm

Bruno Mota

Pedro Faria

Carlos Ramos

2023/6/6

Fair Management of Vehicle-to-Grid and Demand Response Programs in Local Energy Communities

IEEE Access

Cátia Silva

Pedro Faria

Rúben Barreto

Zita Vale

2023/7/27

Local Energy Market Competition Approach for Demand Response Events

Cátia Silva

Pedro Faria

Zita Vale

2023/10/23

See List of Professors in Pedro Faria University(Instituto Politécnico do Porto)

Co-Authors

H-index: 114
Juan M. Corchado

Juan M. Corchado

Universidad de Salamanca

H-index: 63
Zita Vale

Zita Vale

Instituto Politécnico do Porto

H-index: 38
Joao Soares

Joao Soares

Instituto Politécnico do Porto

H-index: 37
Tiago Pinto

Tiago Pinto

Instituto Politécnico do Porto

H-index: 30
Carlos Ramos

Carlos Ramos

Instituto Politécnico do Porto

H-index: 24
Tiago Sousa

Tiago Sousa

Danmarks Tekniske Universitet

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