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Daniel Ramos holds a bachelor's degree in Computer Engineering from the Institute of Engineering in Polytechnic of Porto - ISEP (2019) and a master's degree in Modeling, Data Analysis and Decision Support Systems at the Faculty of Economics of the University of Porto - FEP (2021). He has completed his master's thesis in the area of multi-agent systems with reinforcement learning for forecasting electricity consumption. He is currently doing a PhD in Informatics Engineering in University of Salamanca. The PhD thesis that he is currently developing consists on the following proposal "Explainable Collective Intelligence in Multi-Agent Systems with Learning Agents applied to Sustainable and Efficient Energy Systems". Since September 2019 he has been carrying out scientific research work within the scope of a research grant for graduates. This grant is developed within the scope of the research unit Research Group in Engineering and Intelligent Computing for Innovation and Development (GECAD), an ISEP unit classified as excellent by the FCT, within the framework of the DOMINOES project - Smart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services, funded by the European Commission under the HORIZON 2020 Program (H2020 Grant agreement ID: 771066). As a result of his scientific activities, he published 17 articles, 9 of which in international scientific journals and 8 in international scientific congresses. In 2019 he was a fellow of the LAPASSION project - Latin-America Practices and Soft Skills for an Innovation Oriented Network (585687-EPP-1-2017-1-PT-EPPKA2-CBHE-JP) of the Erasmus+ Capacity Building for Higher Education program, having carried out a 10-week mobility at the Instituto Federal do Maranhão, Brazil where he developed a multidisciplinary project with students from several countries (Brazil, Chile, Spain, Finland, Portugal and Uruguay). As part of this scholarship, he developed a system with a view to increasing the Human Development Index (HDI) of the state of Maranhão, focusing on the area of tourism, using the design thinking methodology.
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Identification

Personal identification

Full name
Daniel Carlos do Vale Ramos

Citation names

  • Ramos, Daniel
  • D Ramos
  • Daniel Ramos

Author identifiers

Ciência ID
F014-3581-880B

Knowledge fields

  • Exact Sciences - Computer and Information Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2)
Education
Degree Classification
2022 - 2025
Ongoing
 Ingeniería informática (Doutoramento)
Universidad de Salamanca, Spain

Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
2019/09/21 - 2021/11/08
Concluded
 Mestrado em Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Mestrado)
Universidade do Porto Faculdade de Economia, Portugal
 17
2015/09/23 - 2019/02/12
Concluded
 Licenciatura em Engenharia Informática (Licenciatura)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
 14
Affiliation

Science

Category
Host institution 		Employer
2019/09/23 - 2023/02/28 Researcher (Research) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
Projects

Grant

Designation Funders
2021/10/22 - Current RETINA (REal-Time support Infrastructure and Energy management for Intelligent carbon-Neutral smArt cities, NORTE-01-0145-FEDER-000062)
GECAD-PES_2021-14
Research Fellow
Ongoing

Contract

Designation Funders
2019/09/23 - 2021/10/21 DOMINOES - Smart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
771066
Research Fellow
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
European Commission
Concluded
2019/03/01 - 2019/05/31 LAPASSION - Latin-America Practices and Soft Skills for an Innovation Oriented Network
585687-EPP-1-2017-1-PT-EPPKA2-CBHE-JP
Research Fellow
Instituto Politécnico do Porto, Portugal
 European Commission
Ongoing
Outputs

Publications

Book chapter
  1. Mota, Bruno; Ramos, Daniel; Faria, Pedro; Ramos, Carlos. "Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm". In Progress in Artificial Intelligence, 182-194. Springer Nature Switzerland, 2023.
    10.1007/978-3-031-49011-8_15
  2. Pinto, Tiago; Gomes, Luis; Faria, Pedro; Vale, Zita; Teixeira, Nuno; Ramos, Daniel. "Intelligent Simulation and Emulation Platform for Energy Management in Buildings and Microgrids". In Machine Learning for Smart Environments/Cities, 167-181. Porto, Portugal: Springer International Publishing, 2022.
    10.1007/978-3-030-97516-6_9
  3. Jozi, Aria; Ramos, Daniel; Gomes, Luis; Faria, Pedro; Pinto, Tiago; Vale, Zita. "Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings". In Progress in Artificial Intelligence, 462-468. Springer International Publishing, 2019.
    10.1007/978-3-030-30241-2_39
Conference paper
  1. Daniel Ramos; Pedro Faria; Luís Gomes; Vale, Zita. "CPU computation influence on energy consumption forecasting activities of a building". Paper presented in 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2024.
  2. Daniel Ramos; Pedro Faria; Luís Gomes; Vale, Zita. "Computational approaches for green computing of energy consumption forecasting on non-working periods in an office building". Paper presented in Energy Informatics, 2024.
  3. Ramos, Daniel; Faria, Pedro; Vale, Zita. "Analysis of the Consumption and Sensors Features Contribution to the Consumption Forecast Using Explainable AI in Buildings". 2024.
  4. Daniel Ramos; Pedro Faria; Luís Gomes; Vale, Zita. "Building Energy Consumption Forecast under Different Anticipations on a Green Computation Perspective". Paper presented in IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe, 2024.
  5. Daniel Ramos; Pedro Faria; Luís Gomes; Pedro Campos; Zita Vale. "A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts". Paper presented in EPIA, 2024.
  6. Daniel Ramos; Pedro Faria; Vale, Zita. "Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption". Paper presented in Energy Informatics, 2024.
  7. Ramos, Daniel; Faria, Pedro; Vale, Zita. "Multi-agent Decision System in a Building to Coordinate the Energy Forecasting Tasks". 2024.
  8. Ramos, Daniel; Faria, Pedro; Gomes, Luis; Vale, Zita. "Energy Forecast in Buildings Addressing Computation Consumption in a Green Computing Approach". Paper presented in IEEE International Conference on Environment and Electrical Engineering, 2022.
    10.1109/eeeic/icpseurope54979.2022.9854723
  9. Ramos, Daniel; Faria, Pedro; Vale, Zita; Correia, Regina. "Electricity Consumption Forecast in an Industry Facility to Support Production Planning Update in Short Time". 2020.
    10.1109/eeeic/icpseurope49358.2020.9160535
Journal article
  1. Ramos, D.; Faria, P.; Gomes, L.; Campos, P.; Vale, Z.. "Selection of features in reinforcement learning applied to energy consumption forecast in buildings according to different contexts". Energy Reports 8 (2022): 423-429. http://dx.doi.org/10.1016/j.egyr.2022.01.047.
    10.1016/j.egyr.2022.01.047
  2. Ramos, D.; Faria, P.; Morais, A.; Vale, Z.. "Using decision tree to select forecasting algorithms in distinct electricity consumption context of an office building". Energy Reports 8 (2022): 417-422. http://dx.doi.org/10.1016/j.egyr.2022.01.046.
    10.1016/j.egyr.2022.01.046
  3. Ramos, Daniel; Faria, Pedro; Vale, Zita; Correia, Regina. "Short Time Electricity Consumption Forecast in an Industry Facility". IEEE Transactions on Industry Applications 58 1 (2022): 123-130. http://dx.doi.org/10.1109/tia.2021.3123103.
    10.1109/tia.2021.3123103
  4. Vale, Zita; Gomes, Luis; Ramos, Daniel; Faria, Pedro. "Green computing: a realistic evaluation of energy consumption for building load forecasting computation". Journal of Smart Environments and Green Computing 2 2 (2022): 34-45. http://dx.doi.org/10.20517/jsegc.2022.06.
    10.20517/jsegc.2022.06
  5. Ramos, Daniel; Faria, Pedro; Gomes, Luis; Vale, Zita. "A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings". IEEE Access 10 (2022): 61366-61374. http://dx.doi.org/10.1109/access.2022.3180754.
    10.1109/access.2022.3180754
  6. Ramos, Daniel; Khorram, Mahsa; Faria, Pedro; Vale, Zita. "Load Forecasting in an Office Building with Different Data Structure and Learning Parameters". Forecasting 3 1 (2021): 242-255. http://dx.doi.org/10.3390/forecast3010015.
    Open access • 10.3390/forecast3010015
  7. Ramos, Daniel; Teixeira, Brigida; Faria, Pedro; Gomes, Luis; Abrishambaf, Omid; Vale, Zita. "Using diverse sensors in load forecasting in an office building to support energy management". Energy Reports 6 (2020): 182-187. http://dx.doi.org/10.1016/j.egyr.2020.11.100.
    Open access • 10.1016/j.egyr.2020.11.100
  8. Ramos, Daniel; Faria, Pedro; Vale, Zita; Mourinho, João; Correia, Regina. "Industrial Facility Electricity Consumption Forecast Using Artificial Neural Networks and Incremental Learning". Energies 13 18 (2020): 4774. http://dx.doi.org/10.3390/en13184774.
    Open access • 10.3390/en13184774
  9. Ramos, Daniel; Teixeira, Brigida; Faria, Pedro; Gomes, Luis; Abrishambaf, Omid; Vale, Zita. "Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach". Sensors 20 12 (2020): 3524. http://dx.doi.org/10.3390/s20123524.
    Open access • 10.3390/s20123524
Thesis / Dissertation
  1. Ramos, Daniel. "Reinforcement Learning of a Multi Agent System for the Forecasting of Electricity Consumption". Master, 2021. https://repositorio-aberto.up.pt/bitstream/10216/138254/2/519034.pdf.
  2. "TensorFlow for automatic prediction of electricity consumption". Degree, 2019.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2022/04/26 Using diverse sensors in load forecasting in an office building to support energy management in the scope of MAS-SOCIETY GECAD Energy Projects Event 2022
Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento (Porto, Portugal)
2022/04/26 Green Computing: a realistic evaluation of energy consumption for building load forecasting computation in the scope of RETINA project GECAD Energy Projects Event 2022
Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento (GECAD) (Porto, Portugal)
2022/04/01 Energy forecasting models Advanced Training Session in Transactive Energy
RETINA project workshop (Porto, Portugal)
2022/01/12 Reinforcement Learning of a Multi Agent System for the Forecasting of Electricity Consumption Multiagent systems and reinforcement learning in the real world of power systems
Multiagent systems course - FEP (Porto, Portugal)
2021/09/15 Presentation of paper "Using decision tree to select forecasting algorithms in distinct electricity consumption context of an office building" 2021 8th International Conference on Energy and Environment Research
School of Engineering (ISEP) of the Polytechnic of Porto (P.Porto) (Porto, Portugal)
2019/05/23 JOGA&GO app Demo day of LAPASSION project
Instituto Federal de Educação, Ciência e Tecnologia do Maranhão (Porto, Portugal)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2021/05/11 - 2021/09/14 Forecast of electric energy consumption in a building
Co-supervisor
 Project/Internship (PESTA) (Degree)
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2022/04/26 - 2022/04/27 GECAD Energy Projects Event 2022
Workshop
 GECAD Energy Projects Event 2022
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2022/04/18 - 2022/04/22 Spring Deep Learn Spring season
Other
 Spring Deep Learn Spring season
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2022/04/01 - 2022/04/01 RETINA Advanced Training Session in Transactive Energy
Workshop
 RETINA Advanced Training Session in Transactive Energy
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2021/07/19 - 2021/07/23 22nd European Agent Systems Summer School
Other
 22nd European Agent Systems Summer School
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2021/06/02 - 2021/06/02 Coordination and Learning in Multiagent Systems: Applications in Robotic Soccer
Other
 Coordination and Learning in Multiagent Systems: Applications in Robotic Soccer
Universidade do Porto Faculdade de Engenharia, Portugal
2021/05/26 - 2021/05/26 Multi-agent Systems to Distribute Intelligence in Industrial Cyber-Physical Systems
Other
 Multi-agent Systems to Distribute Intelligence in Industrial Cyber-Physical Systems
Instituto Politécnico de Bragança Centro de Investigação em Digitalização e Robótica Inteligente, Portugal
2020/06/09 - 2020/06/12 Participation in the EEEIC 2020 conference
Conference
 EEEIC / I&CPS Europe 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe