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ORCIDPedro Faria
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c71]Pedro Faria, Tomás Simões, Yan Qianmin:
Automation on Cloud Migrations. MIPRO 2024: 1949-1953- [c70]Bruno Mota
, Pedro Faria, Juan M. Corchado, Carlos Ramos:
Explainable Artificial Intelligence Applied to Predictive Maintenance: Comparison of Post-Hoc Explainability Techniques. xAI (4) 2024: 353-364 - [d5]Calvin Goncalves, Rúben Barreto, Pedro Faria, Luis Gomes, Zita Vale:
Dataset of an Energy Community's Consumption and Generation with Appliance Allocation for One Year. Version 2. Zenodo, 2024 [all versions]
- 2023
- [j20]Cátia Silva, Pedro Faria, Rúben Barreto, Zita Vale:
Fair Management of Vehicle-to-Grid and Demand Response Programs in Local Energy Communities. IEEE Access 11: 79851-79860 (2023) - [j19]Bruno Mota, Pedro Faria, Carlos Ramos:
Joint Production and Maintenance Scheduling for Total Cost and Machine Overload Reduction in Manufacturing: A Genetic Algorithm Approach. IEEE Access 11: 98070-98081 (2023) - [j18]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Survey on Privacy-Preserving Techniques for Microdata Publication. ACM Comput. Surv. 55(14s): 309:1-309:42 (2023) - [j17]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Towards a data privacy-predictive performance trade-off. Expert Syst. Appl. 223: 119785 (2023) - [c69]Cátia Silva, Pedro Campos, Pedro Faria, Zita Vale:
Exploring Dataset Patterns for New Demand Response Participants Classification. DCAI (1) 2023: 306-317 - [c68]Daniel Ramos, Pedro Faria, Zita Vale:
Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption. EI.A (2) 2023: 51-62 - [c67]Daniel Ramos, Pedro Faria, Luis Gomes, Zita Vale:
Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building. EI.A (2) 2023: 83-91 - [c66]Bruno Mota, Pedro Faria, Carlos Ramos:
Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach. EI.A 2023: 289-299 - [c65]Bruno Mota, Daniel Ramos, Pedro Faria, Carlos Ramos:
Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm. EPIA (2) 2023: 182-194 - [c64]Rúben Barreto, Luis Gomes, Pedro Faria, Zita Vale:
Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the Members. ISGT EUROPE 2023: 1-5 - [c63]Ricardo Faia, Pedro Faria, Zita Vale:
Optimizing House Energy Management with MILP Considering Shifting of Electric Appliances and Battery Storage System. ISGT EUROPE 2023: 1-5 - [c62]Daniel Ramos, Pedro Faria, Zita Vale:
Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption. ISGT EUROPE 2023: 1-5 - [c61]Cátia Silva, Pedro Faria, Zita Vale:
Local Energy Market Competition Approach for Demand Response Events. ISGT EUROPE 2023: 1-5 - 2022
- [j16]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings. IEEE Access 10: 61366-61374 (2022) - [j15]Cátia Silva, Pedro Faria, Bruno Ribeiro, Luis Gomes, Zita Vale:
Demand Response Contextual Remuneration of Prosumers with Distributed Storage. Sensors 22(22): 8877 (2022) - [c60]Daniel Ramos, Pedro Faria, Luis Gomes, Pedro Campos, Zita A. Vale:
A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts. EPIA 2022: 271-281 - [c59]Meysam Khojasteh, Pedro Faria, Fernando Lezama, Zita Vale:
Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained Approach. ISGT-Europe 2022: 1-5 - [c58]Cátia Silva, Pedro Faria, Bruno Canizes, Zita Vale:
Real-Time Approach for Managing Power Network by Shifting Electricity Consumers Demand. ISGT-Europe 2022: 1-5 - [c57]Bruno Mota, Pedro Faria, Carlos Ramos:
Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches. SOCO 2022: 13-22 - [c56]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
CPU Computation Influence on Energy Consumption Forecasting Activities of a Building. SOCO 2022: 51-61 - [c55]Cátia Silva, Pedro Faria, Zita A. Vale:
DR Participants' Actual Response Prediction Using Artificial Neural Networks. SOCO 2022: 176-185 - [d4]Calvin Goncalves, Rúben Barreto, Pedro Faria, Luis Gomes, Zita Vale:
Dataset of an Energy Community's Consumption and Generation with Appliance Allocation for One Year. Version 1.0. Zenodo, 2022 [all versions] - [d3]Cátia Silva, Pedro Faria, Luis Gomes, Zita Vale:
Dataset of 20 energy prosumers with flexibility data, distributed generation and energy storage. Zenodo, 2022 - [i4]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Towards a Data Privacy-Predictive Performance Trade-off. CoRR abs/2201.05226 (2022) - [i3]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Survey on Privacy-Preserving Techniques for Data Publishing. CoRR abs/2201.08120 (2022) - [i2]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes, Nitesh V. Chawla:
Privacy-Preserving Data Synthetisation for Secure Information Sharing. CoRR abs/2212.00484 (2022) - 2021
- [j14]Pedro Faria, Fernando Lezama, Zita A. Vale, Mahsa Khorram:
A methodology for energy key performance indicators analysis. Energy Inform. 4(1) (2021) - [j13]Helder Pereira, Luis Gomes, Pedro Faria, Zita A. Vale, Carlos Coelho:
Web-based platform for the management of citizen energy communities and their members. Energy Inform. 4(S2) (2021) - [c54]Brigida Teixeira, Tiago Pinto, Pedro Faria, Zita A. Vale:
PV Generation Forecasting Model for Energy Management in Buildings. EPIA 2021: 176-182 - [c53]Sandra Dixe, João Leite, Sahar Azadi, Pedro Faria, José Mendes, Jaime C. Fonseca, João Borges:
In-car Damage Dirt and Stain Estimation with RGB Images. ICAART (2) 2021: 672-679 - [c52]Cátia Silva, Pedro Faria, Zita A. Vale:
Consumers Minimum Rate for Participation in Demand Response Events Under Uncertainty. ISGT-Europe 2021: 1-5 - [c51]Cátia Silva, Pedro Faria, Zita A. Vale:
Managing Smart City Power Network by Shifting Electricity Consumers Demand. SSCT 2021: 81-91 - [d2]Gabriel Santos, Luis Gomes, Tiago Pinto, Zita Vale, Pedro Faria:
MARTINE Semantic Interoperability: Local Electricity Market Hour-Ahead Session. Zenodo, 2021 - [d1]Zita Vale, Pedro Faria, Omid Abrishambaf, Luis Gomes:
Photovoltaic generation and temperature for the year 2019. Zenodo, 2021 - 2020
- [j12]Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort. Sensors 20(3): 593 (2020) - [j11]Daniel Ramos, Brigida Teixeira, Pedro Faria, Luis Gomes, Omid Abrishambaf, Zita A. Vale:
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach. Sensors 20(12): 3524 (2020) - [c50]Tiago Pinto, Luis Gomes, Pedro Faria, Filipe Sousa, Zita A. Vale:
MARTINE: Multi-Agent based Real-Time INfrastructure for Energy. AAMAS 2020: 2114-2116 - [c49]Fernando Lezama, Ricardo Faia, João P. Soares, Pedro Faria, Zita A. Vale:
Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization. CEC 2020: 1-8 - [c48]Pedro Faria, Sandra Dixe, João Leite, Sahar Azadi, José Mendes, Jaime C. Fonseca, João Borges:
In-Car State Classification with RGB Images. ISDA 2020: 435-445 - [c47]Mahsa Khorram, Modar Zheiry, Pedro Faria, Zita A. Vale:
Energy Consumption Management in Buildings in the Context of Voluntary and Mandatory Demand Response Programs in Smart Grids. ISGT-Europe 2020: 275-279 - [c46]Meysam Khojasteh, Pedro Faria, Zita A. Vale:
Scheduling of Battery Energy Storage and Demand Response Resource in Balancing Ancillary Service. ISGT-Europe 2020: 299-303 - [c45]Ricardo Faia, Bruno Canizes, Pedro Faria, Zita A. Vale, José M. Terras, Luís V. Cunha:
Optimal Distribution Grid Operation Using Demand Response. ISGT-Europe 2020: 1221-1225
2010 – 2019
- 2019
- [c44]Cátia Silva, Pedro Faria, Zita A. Vale:
Study of Multi-Tariff Influence on the Distributed Generation Remuneration. DCAI (Special Sessions) 2019: 14-19 - [c43]Mahsa Khorram, Pedro Faria, Zita A. Vale:
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level. DCAI (Special Sessions) 2019: 20-28 - [c42]Aria Jozi, Daniel Ramos, Luis Gomes, Pedro Faria, Tiago Pinto, Zita A. Vale:
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings. EPIA (1) 2019: 462-468 - [e2]Sara Rodríguez, Javier Prieto, Pedro Faria, Slawomir Klos, Alberto Fernández, Santiago Mazuelas, María Dolores Jiménez-López, María N. Moreno, Elena Maria Navarro Martínez:
Distributed Computing and Artificial Intelligence, 15th International Conference, DCAI 2018, Toledo, Spain, 20-22 June 2018, Special Sessions I. Advances in Intelligent Systems and Computing 801, Springer 2019, ISBN 978-3-319-99607-3 [contents] - 2018
- [j10]Omid Abrishambaf, Pedro Faria, Zita A. Vale:
Application of an optimization-based curtailment service provider in real-time simulation. Energy Inform. 1(1) (2018) - [j9]Mahsa Khorram, Omid Abrishambaf, Pedro Faria, Zita A. Vale:
Office building participation in demand response programs supported by intelligent lighting management. Energy Inform. 1(1) (2018) - [j8]Irene Caprara, Elsie Premereur, Maria C. Romero, Pedro Faria, Peter Janssen:
Shape responses in a macaque frontal area connected to posterior parietal cortex. NeuroImage 179: 298-312 (2018) - [j7]Hooshiar Zolfagharnasab, Sílvia Bessa, Sara Pires de Oliveira, Pedro Faria, João F. Teixeira, Jaime S. Cardoso, Hélder P. Oliveira:
A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery. Sensors 18(1): 167 (2018) - [c41]Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes. DCAI (Special Sessions) 2018: 21-29 - [c40]Cátia Silva, Pedro Faria, Zita A. Vale:
Clustering Support for an Aggregator in a Smart Grid Context. HIS 2018: 156-165 - [c39]Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Economic Impact of an Optimization-Based SCADA Model for an Office Building. HIS 2018: 166-175 - [c38]Md Tofael Ahmed, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Electric Water Heater Modelling for Direct Load Control Demand Response. INDIN 2018: 490-495 - [c37]Mahsa Khorram, Pedro Faria, Zita A. Vale:
optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes. INDIN 2018: 508-513 - [c36]Omid Abrishambaf, Pedro Faria, Zita A. Vale:
SCADA Office Building Implementation in the Context of an Aggregator. INDIN 2018: 984-989 - [c35]Md Tofael Ahmed, Pedro Faria, Zita A. Vale:
Financial Benefit Analysis of an Electric Water Heater with Direct Load Control in Demand Response. SmartGridComm 2018: 1-6 - [c34]Ângelo Pinto, Tiago Pinto, Isabel Praça, Zita A. Vale, Pedro Faria:
Clustering-based negotiation profiles definition for local energy transactions. SmartGridComm 2018: 1-5 - [c33]Cátia Silva, Pedro Faria, Zita A. Vale:
Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation. SmartGridComm 2018: 1-6 - [c32]Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Consumption Optimization of an Office Building using Different Approaches. SSCI 2018: 1634-1638 - [c31]Cátia Silva, Pedro Faria, Zita A. Vale:
Distributed Generation with Improved Remuneration. SSCI 2018: 1639-1644 - [c30]Cátia Silva, Pedro Faria, Zita A. Vale:
Discussing Different Clustering Methods for the Aggregation of Demand Response and Distributed Generation. SSCI 2018: 1645-1650 - [e1]Sigeru Omatu, Sara Rodríguez, Gabriel Villarrubia, Pedro Faria, Pawel Sitek, Javier Prieto:
Distributed Computing and Artificial Intelligence, 14th International Conference, DCAI 2017, Porto, Portugal, 21-23 June, 2017. Advances in Intelligent Systems and Computing 620, Springer 2018, ISBN 978-3-319-62409-9 [contents] - 2017
- [c29]João Spínola, Pedro Faria, Zita A. Vale:
Photovoltaic Inverter Scheduler with the Support of Storage Unit to Minimize Electricity Bill. PAAMS (Special Sessions) 2017: 63-71 - [c28]Filipe Sousa, João Spínola, Nuno Moreira, Pedro Faria, Zita A. Vale:
Real-Time Emulation and Simulation System of Asynchronous Motor Consumption. PAAMS (Special Sessions) 2017: 72-80 - [c27]Omid Abrishambaf, Pedro Faria, Zita A. Vale:
Real-Time Implementation of Demand Response Programs Based on Open ADR Technology. PAAMS (Special Sessions) 2017: 345-347 - [c26]Pedro Faria, Ângelo Pinto, Zita A. Vale, Mahsa Khorram, Fernando Buarque de Lima Neto, Tiago Pinto:
Lighting consumption optimization using fish school search algorithm. SSCI 2017: 1-5 - [c25]Joao Spinola, Ricardo Faia, Pedro Faria, Zita A. Vale:
Clustering optimization of distributed energy resources in support of an aggregator. SSCI 2017: 1-6 - 2016
- [j6]Pedro Faria, Joao Spinola, Zita A. Vale:
Aggregation and Remuneration of Electricity Consumers and Producers for the Definition of Demand-Response Programs. IEEE Trans. Ind. Informatics 12(3): 952-961 (2016) - [c24]Omid Abrishambaf, Mohammad Ali Fotouhi Ghazvini, Luis Gomes, Pedro Faria, Zita A. Vale, Juan M. Corchado:
Application of a Home Energy Management System for Incentive-Based Demand Response Program Implementation. DEXA Workshops 2016: 153-157 - [c23]Patrícia R. Sousa, Pedro Faria, Manuel Eduardo Correia, João S. Resende, Luis Antunes:
Digital Signatures Workflows in Alfresco. EGOVIS 2016: 304-318 - [c22]Joao Spinola, Pedro Faria, Zita A. Vale:
Energy resource aggregator managing active consumer demand programs. SSCI 2016: 1-6 - [c21]Joao Spinola, Pedro Faria, Zita A. Vale:
Aggregation validation approach for the management of resources in a smart grid. SSCI 2016: 1-7 - 2015
- [c20]Diogo Boldt, Pedro Faria, Zita A. Vale:
Demand Response Shifting Management Applied to Distributed Generation and Pumping. SSCI 2015: 1537-1544 - [c19]Joao Spinola, Pedro Faria, Zita A. Vale:
Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources. SSCI 2015: 1545-1552 - [c18]Fabio Pereira, João P. Soares, Pedro Faria, Zita A. Vale:
Quantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response Programs. SSCI 2015: 1553-1560 - 2014
- [j5]Luis Gomes, Pedro Faria, Hugo Morais, Zita A. Vale, Carlos Ramos:
Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids. IEEE Intell. Syst. 29(1): 56-65 (2014) - [c17]Pedro Faria, João P. Soares, Zita A. Vale:
Quantum-based particle swarm optimization application to studies of aggregated consumption shifting and generation scheduling in smart grids. CIASG 2014: 124-131 - [c16]Luis Gomes, Filipe Fernandes, Zita A. Vale, Pedro Faria, Carlos Ramos:
A learning algorithm and system approach to address exceptional events in domestic consumption management. CIASG 2014: 140-146 - [c15]Nuno Pereira, João Goes, Marco Rodrigues, Pedro Faria:
A new mismatch-insensitive 1.5-bit MDAC with unity feedback-factor and enhanced performance. ICECS 2014: 375-378 - [c14]Luis Gomes, Tiago Pinto, Pedro Faria, Zita A. Vale:
Distributed intelligent management of microgrids using a multi-agent simulation platform. IEEE IA 2014: 1-7 - 2013
- [j4]Pedro Faria, Zita A. Vale, João P. Soares, Judite Ferreira:
Demand Response Management in Power Systems Using Particle Swarm Optimization. IEEE Intell. Syst. 28(4): 43-51 (2013) - [j3]João P. Soares, Hugo Morais, Tiago Sousa, Zita A. Vale, Pedro Faria:
Day-Ahead Resource Scheduling Including Demand Response for Electric Vehicles. IEEE Trans. Smart Grid 4(1): 596-605 (2013) - [j2]Pedro Faria, João P. Soares, Zita A. Vale, Hugo Morais, Tiago Sousa:
Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling. IEEE Trans. Smart Grid 4(1): 606-616 (2013) - [c13]Pedro Faria, Tiago Soares, Tiago Pinto, Tiago M. Sousa, João P. Soares, Zita A. Vale, Hugo Morais:
Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach. CIASG 2013: 51-58 - [c12]Pedro Faria, Zita A. Vale:
Demand response programs definition using demand price elasticity to define consumers aggregation for an improved remuneration structure. ISGT Europe 2013: 1-5 - [c11]Filipe Fernandes, Marco R. Silva, Pedro Faria, Zita A. Vale, Carlos Ramos, Hugo Morais:
Real-time simulation of energy management in a domestic consumer. ISGT Europe 2013: 1-5 - [c10]P. Oliveira, Luis Gomes, Tiago Pinto, Pedro Faria, Zita A. Vale, Hugo Morais:
Load control timescales simulation in a Multi-Agent Smart Grid Platform. ISGT Europe 2013: 1-5 - 2012
- [j1]Tiago Sousa, Hugo Morais, Zita A. Vale, Pedro Faria, João P. Soares:
Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach. IEEE Trans. Smart Grid 3(1): 535-542 (2012) - [c9]Pedro Faria, Zita A. Vale, Tiago Soares, Hugo Morais:
Energy and reserve provision dispatch considering distributed generation and demand response. ISGT Europe 2012: 1-7 - [c8]Filipe Fernandes, Hugo Morais, Pedro Faria, Zita A. Vale, Carlos Ramos:
Combined heat and power and consumption optimization in a SCADA-based system. ISGT Europe 2012: 1-8 - [c7]Pedro Faria, Eduardo Miranda:
Expert Judgment in Software Estimation During the Bid Phase of a Project - An Exploratory Survey. IWSM/Mensura 2012: 126-131 - [i1]Daniela Fonte, Ismael Vilas Boas, José Azevedo, José João Peixoto, Pedro Faria, Pedro Silva, Tiago Sá, Ulisses Araújo Costa, Daniela Carneiro da Cruz, Pedro Rangel Henriques:
Modeling Languages: metrics and assessing tools. CoRR abs/1206.4477 (2012) - 2011
- [c6]Pedro Faria, Zita A. Vale, João P. Soares, Judite Ferreira:
Particle swarm optimization applied to integrated demand response resources scheduling. CIASG 2011: 1-8 - [c5]João P. Soares, Tiago Sousa, Hugo Morais, Zita A. Vale, Pedro Faria:
An optimal scheduling problem in distribution networks considering V2G. CIASG 2011: 25-32 - [c4]Filipe Fernandes, Tiago Sousa, Marco R. Silva, Hugo Morais, Zita A. Vale, Pedro Faria:
Genetic algorithm methodology applied to intelligent house control. CIASG 2011: 139-146 - 2010
- [c3]Zita A. Vale, Carlos Ramos, Pedro Faria, João P. Soares, Bruno Canizes, Joaquim Teixeira, Hussein M. Khodr:
Comparison between Deterministic and Meta-heuristic Methods Applied to Ancillary Services Dispatch. IEA/AIE (1) 2010: 731-741 - [c2]Pedro Faria, Zita A. Vale, Judite Ferreira:
Demsi - A demand response simulator in the context of intensive use of distributed generation. SMC 2010: 2025-2032 - [c1]Filipe Fernandes, Tiago Sousa, Pedro Faria, Marco R. Silva, Hugo Morais, Zita A. Vale:
Intelligent SCADA for Load control. SMC 2010: 2987-2994
Coauthor Index
Zita A. Vale
aka: Zita Vale
aka: Zita Vale
[d5] [j20] [c69] [c68] [c67] [c64] [c63] [c62] [c61] [j16] [j15] [c60] [c59] [c58] [c56] [c55] [d4] [d3] [j14] [j13] [c54] [c52] [c51] [d2] [d1] [j12] [j11] [c50] [c49] [c47] [c46] [c45] [c44] [c43] [c42] [j10] [j9] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [j6] [c24] [c22] [c21] [c20] [c19] [c18] [j5] [c17] [c16] [c14] [j4] [j3] [j2] [c13] [c12] [c11] [c10] [j1] [c9] [c8] [c6] [c5] [c4] [c3] [c2] [c1]
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