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Cátia Silva
Cátia Silva
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Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation
B Canizes, J Soares, F Lezama, C Silva, Z Vale, JM Corchado
Renewable Energy 138, 937-954, 2019
652019
Demand response performance and uncertainty: A systematic literature review
C Silva, P Faria, Z Vale, JM Corchado
Energy Strategy Reviews 41, 100857, 2022
422022
Multi-Period Observation Clustering for Tariff Definition in a Weekly Basis Remuneration of Demand Response
C Silva, P Faria, Z Vale
Energies 12 (7), 1248, 2019
242019
Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period
C Silva, P Faria, Z Vale
Electronics 9 (2), 349, 2020
192020
Demand Response and Distributed Generation Remuneration Approach Considering Planning and Operation Stages
C Silva, P Faria, Z Vale
Energies 12 (14), 2721, 2019
162019
Discussing Different Clustering Methods for the Aggregation of Demand Response and Distributed Generation
C Silva, P Faria, Z Vale
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1645-1650, 2018
152018
Clustering distributed Energy Storage units for the aggregation of optimized local solar energy
C Silva, P Faria, A Fernandes, Z Vale
Energy Reports 8, 405-410, 2022
122022
Clustering direct load control appliances in the context of demand response programs in energy communities
R Barreto, P Faria, C Silva, Z Vale
IFAC-PapersOnLine 53 (2), 12608-12613, 2020
122020
Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation
C Silva, P Faria, Z Vale
2018 IEEE International Conference on Communications, Control, and Computing …, 2018
102018
Rating consumers participation in demand response programs according to previous events
C Silva, P Faria, Z Vale
Energy Reports 6, 195-200, 2020
82020
Demand Response Contextual Remuneration of Prosumers with Distributed Storage
C Silva, P Faria, B Ribeiro, L Gomes, Z Vale
Sensors 22 (22), 8877, 2022
72022
Rating the participation in Demand Response events with a contextual approach to improve accuracy of aggregated schedule
C Silva, P Faria, Z Vale, JM Terras, S Albuquerque
Energy Reports 8, 8282-8300, 2022
72022
Study of multi-tariff influence on the distributed generation remuneration
C Silva, P Faria, Z Vale
Distributed Computing and Artificial Intelligence, 16th International …, 2020
72020
Clustering support for an aggregator in a smart grid context
C Silva, P Faria, Z Vale
Hybrid Intelligent Systems: 18th International Conference on Hybrid …, 2020
72020
Finding the trustworthy consumers for demand response events by dealing with uncertainty
C Silva, P Faria, Z Vale
2021 IEEE International Conference on Environment and Electrical Engineering …, 2021
62021
Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes
B Canizes, J Soares, MAF Ghazvini, C Silva, Z Vale, JM Corchado
Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy …, 2018
42018
Classification of New Active Consumers Performance According to Previous Events Using Decision Trees
C Silva, P Faria, Z Vale
IFAC-PapersOnLine 55 (9), 297-302, 2022
32022
Managing Smart City Power Network by Shifting Electricity Consumers Demand
C Silva, P Faria, Z Vale
Sustainable Smart Cities and Territories, 81-91, 2022
32022
Aggregation of Prosumers in the Context of Demand Response and Distributed Generation Remuneration and Scheduling
C Silva, P Faria, Z Vale
2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2020
32020
Rating the Participation of Electricity Consumers in Demand Response Events
C Silva, P Faria, Z Vale
2020 17th International Conference on the European Energy Market (EEM), 1-5, 2020
32020
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