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Pedro Faria
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2020 – today
- 2024
- [c70]Pedro Faria, Tomás Simões, Yan Qianmin:
Automation on Cloud Migrations. MIPRO 2024: 1949-1953 - [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
aka: Zita Vale
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