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Identification

Personal identification

Full name
Cátia Vanessa Costa Silva

Author identifiers

Ciência ID
5318-DCFD-218D
ORCID iD
0000-0001-8306-4568

Email addresses

  • cvcds@isep.ipp.pt (Professional)
Education
Degree Classification
2019/10/04 - 2023/10/04
Ongoing
Engenharia Informática (Doktor (PhD))
Major in Sistemas Inteligentes
Universidad de Salamanca, Spain
2015 - 2017
Concluded
Engenharia Electrotécnica: Sistemas Eléctricos e Energia (Mestrado)
Major in Sem especialização
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
"Planeamento de uma rede de distribuição num contexto de Smart Grid" (THESIS/DISSERTATION)
17
2012 - 2015
Concluded
Engenharia Eletrotécnica - Sistemas Elétricos de Energia (Licenciatura)
Major in Sistemas Elétricos de Energia
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
12
Affiliation

Science

Category
Host institution
Employer
2017/12/04 - 2019/11/30 Researcher (Research) Instituto Politécnico do Porto, Portugal
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal

Others

Category
Host institution
Employer
2019/12/01 - Current Bolsa de Investigação da Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia, Portugal
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
Projects

Contract

Designation Funders
2019/07/01 - 2019/11/30 COLORS - COntextual LOad flexibility Remuneration Strategies
Research Fellow
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
Agência Nacional de Inovação SA
Ongoing
2018/04/17 - 2019/06/30 CONTEST - Innovative CONsumer aggregation to improve demand response and Tariff design for Energy and Services Transactions
Research Fellow
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
Agência Nacional de Inovação SA
Ongoing
2018/09/03 - 2019/01/31 DREAM-GO - Enabling demand response for short and real-time efficient and market-based smart grid operation. An intelligent and real-time simulation approach
Research Fellow
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
Horizon 2020 European Innovation Council Fast Track to Innovation
Concluded
2017/12/04 - 2018/04/16 SIMOCE - Sistema Inteligente e Segura para a monitorização e otimização do consumo energético
Research Fellow
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
Agência Nacional de Inovação SA
Ongoing
Outputs

Publications

Book chapter
  1. Silva, Cátia; Faria, Pedro; Vale, Zita. "Clustering Support for an Aggregator in a Smart Grid Context". In Hybrid Intelligent Systems, 156-165. Springer International Publishing, 2019.
    Published
  2. Silva, Cátia; Faria, Pedro; Vale, Zita. "Study of Multi-Tariff Influence on the Distributed Generation Remuneration". In Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions, 14-19. Springer International Publishing, 2019.
    10.1007/978-3-030-23946-6_2
  3. Canizes, Bruno; Soares, João; Ghazvini, Mohammad Ali Fotouhi; Silva, Cátia; Vale, Zita; Corchado, Juan M.. "Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes". In Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs, edited by Behnam Mohammadi-Ivatloo; Farkhondeh Jabari, 297-335. Springer International Publishing, 2018.
    10.1007/978-3-319-75097-2_13
Conference paper
  1. Silva, Catia; Faria, Pedro; Vale, Zita. "Defining the Optimal Number of Demand Response Programs and Tariffs Using Clustering Methods". New Delhi, 2019.
    Published • 10.1109/isap48318.2019.9065957
  2. Silva, Catia; Faria, Pedro; Vale, Zita. "Real-Time Approach for Demand Response Tariffs Definition Using Decision Trees". New Delhi, 2019.
    Published • 10.1109/isap48318.2019.9065969
  3. Silva, Cátia; Pedro Faria; Zita Vale. "Influence of Combining Real-time and Fixed Tariffs in the Demand Response Aggregation and Remuneration Scheems Definition". Paper presented in 13th IEEE PES PowerTech Conference, Milano, 2019.
    Published
  4. Silva, Cátia; Faria, Pedro; Vale, Zita; Nikolaus Starzacher. "Aggregation of Consumers and Producers in a Community with different Clustering Methods". Paper presented in Fourth DREAM-GO Workshop, Porto, 2019.
    Published
  5. Silva, Catia; Faria, Pedro; Vale, Zita. "Distributed Generation with Improved Remuneration". Paper presented in 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, 2018.
    10.1109/ssci.2018.8628764
  6. Silva, Catia; Faria, Pedro; Vale, Zita. "Discussing Different Clustering Methods for the Aggregation of Demand Response and Distributed Generation". Paper presented in 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, 2018.
    10.1109/ssci.2018.8628781
  7. Silva, Catia; Faria, Pedro; Vale, Zita. "Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation". Paper presented in 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aalborg, 2018.
    10.1109/smartgridcomm.2018.8587438
Journal article
  1. Silva, Cátia; Faria, Pedro; Vale, Zita. "Combining Real-Time and Fixed Tariffs in the Demand Response Aggregation and Remuneration". Energy Reports 6 1 (2020): 114-119.
    Published • 10.1016/j.egyr.2019.08.028
  2. Cátia Silva; Pedro Faria; Zita Vale. "Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period". Electronics (2020): https://www.mdpi.com/2079-9292/9/2/349.
    10.3390/electronics9020349
  3. Canizes, Bruno; Soares, João; Lezama, Fernando; Silva, Cátia; Vale, Zita; Corchado, Juan M.. "Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation". Renewable Energy 138 (2019): 937-954. http://dx.doi.org/10.1016/j.renene.2019.02.006.
    10.1016/j.renene.2019.02.006
  4. Silva, Cátia; Faria, Pedro; Vale, Zita. "Demand Response and Distributed Generation Remuneration Approach Considering Planning and Operation Stages". Energies 12 14 (2019): 2721. http://dx.doi.org/10.3390/en12142721.
    10.3390/en12142721
  5. Cátia Silva; Pedro Faria; Zita Vale; Silva, Cátia; Faria, Pedro; Vale, Zita. "Multi-Period Observation Clustering for Tariff Definition in a Weekly Basis Remuneration of Demand Response". Energies (2019): https://www.mdpi.com/1996-1073/12/7/1248.
    10.3390/en12071248
Thesis / Dissertation
  1. Silva, Cátia. "Planeamento de uma rede de distribuição num contexto de Smart Grid". Master, Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, 2017. http://hdl.handle.net/10400.22/10538.

Other

Other output
  1. DELIVERABLE 4.3. Consumer aggregation application. Deliverable do Projecto CONTEST- Innovative CONsumer aggregation to improve demand response and Tariff design for Energy and Services Transactions. 2018. Silva, Cátia; Faria, Pedro; Vale, Zita. http://www.gecad.isep.ipp.pt/contest/.
  2. DELIVERABLE 4.6 Application for consumer clustering. Deliverable do Projeto CONTEST - Innovative CONsumer aggregation to improve demand response and Tariff design for Energy and Services Transactions. 2018. Silva, Cátia; Faria, Pedro; Vale, Zita. http://www.gecad.isep.ipp.pt/contest/.
  3. DELIVERABLE 4.5 Report on consumer profiling. Deliverable do Projecto CONTEST- Innovative CONsumer aggregation to improve demand response and Tariff design for Energy and Services Transactions. 2018. Silva, Cátia; Faria, Pedro; Vale, Zita. http://www.gecad.isep.ipp.pt/contest/.
  4. DELIVERABLE 4.7 Application for consumer classification. Deliverable do Projeto CONTEST - Innovative CONsumer aggregation to improve demand response and Tariff design for Energy and Services Transactions. 2018. Silva, Cátia; Faria, Pedro; Vale, Zita. http://www.gecad.isep.ipp.pt/contest/.
  5. DELIVERABLE 4.4 Consumer profiling application. Deliverable do Projecto CONTEST- Innovative CONsumer aggregation to improve demand response and Tariff design for Energy and Services Transactions. 2018. Silva, Cátia; Faria, Pedro; Vale, Zita. http://www.gecad.isep.ipp.pt/contest/.
Activities

Event participation

Activity description
Type of event
Event name
Institution / Organization
2020/02/27 - 2020/02/27 Practical Data Science and Machine Learning
Seminar
Practical Data Science and Machine Learning
Universidad de Salamanca, Spain
2020/02/17 - 2020/02/17 First Luso-Brazilian CENERGETIC WORKSHOP
Seminar
First Luso-Brazilian CENERGETIC WORKSHOP
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal