
About Project
Wind power forecasting system
Acronym
Argos
Responsible
Vladimiro Henrique Barrosa Pinto de Miranda
Status
Closed
Start
January 1, 2008
End
January 31, 2012
Effective End
January 31, 2012
Global Budget
--
Financing
--
Members
Team Leaders

Vladimiro Henrique Barrosa Pinto de Miranda
Vladimiro Miranda was born in Porto, Portugal. He graduated in Electrical Engineering in 1977 and received the Ph.D. degree in Electrical Engineering from FEUP, the Faculty of Engineering of the University of Porto, Portugal, in 1982. He joined FEUP in 1981 and joined INESC in 1985, a top R&D institute in Portugal where he came to be coordinator of the area of Power Systems during the 90’s.
He was a member of the Board of Directors of INESC TEC, Portugal - an R&D private non-profit organization recognized by the Ministry of Science and with the University of Porto as the main associate - for 18 years until June 2018, and holds presently the following responsibilities:
He is International Scientific Advisor for:
He was invited as Honorary Professor of the Novi Sad University, Serbia, and was President of INESC Macau, China. In 1996 and 1997 he stayed as Visiting Full Professor in the University of Macau, China. In 2005 he was Visiting Professor at the Federal University of Pará (UFPA), Brazil, and in 2015-2018 he was visiting researcher at the Federal University of Santa Catarina (UFSC), Brazil.
Prof. Miranda has been serving in the Administration Board of spin-off companies created within the INESC system. He has also served as research project evaluator for the governmental science organizations of Portugal, Norway, Croatia, South Africa, Chile, Brazil and Argentina. For the Government of this latter country, he acted as external auditor in the process of evaluation of research institutions.
He has supervised, co-supervised or cooperated in the supervision of a large number of PhD and MSc theses e power systems in several countries and universities such as in Portugal, Brazil, Argentina, Bosnia, China, Ecuador, Norway or Sweden.
He has been responsible for many research projects at international level, in the European Union, United States and Brazil, and has authored or co-authored over 200 publications, especially in areas related with Power Systems and the application of Computational Intelligence to Power Systems.
He has been a member (at times the chairman) of the organizing or scientific committees of several important conferences in his areas of expertise such as PMAPS, ISAP, IEEE Power Tech, etc.
Prof. Miranda is an IEEE Fellow.
He is the recipient in 2013 of the IEEE Power Engineering Society Ramakumar Family Renewable Energy Excellence Award.He is a member of the IEEE Distinguished Lecturer Program.
Curriculum LATTES: http://lattes.cnpq.br/5824178098755298
Scopus Author ID: 35581693000 - AuthenticusID: R-000-HPD
(end)

Vladimiro Henrique Barrosa Pinto de Miranda
Vladimiro Miranda was born in Porto, Portugal. He graduated in Electrical Engineering in 1977 and received the Ph.D. degree in Electrical Engineering from FEUP, the Faculty of Engineering of the University of Porto, Portugal, in 1982. He joined FEUP in 1981 and joined INESC in 1985, a top R&D institute in Portugal where he came to be coordinator of the area of Power Systems during the 90’s.
He was a member of the Board of Directors of INESC TEC, Portugal - an R&D private non-profit organization recognized by the Ministry of Science and with the University of Porto as the main associate - for 18 years until June 2018, and holds presently the following responsibilities:
He is International Scientific Advisor for:
He was invited as Honorary Professor of the Novi Sad University, Serbia, and was President of INESC Macau, China. In 1996 and 1997 he stayed as Visiting Full Professor in the University of Macau, China. In 2005 he was Visiting Professor at the Federal University of Pará (UFPA), Brazil, and in 2015-2018 he was visiting researcher at the Federal University of Santa Catarina (UFSC), Brazil.
Prof. Miranda has been serving in the Administration Board of spin-off companies created within the INESC system. He has also served as research project evaluator for the governmental science organizations of Portugal, Norway, Croatia, South Africa, Chile, Brazil and Argentina. For the Government of this latter country, he acted as external auditor in the process of evaluation of research institutions.
He has supervised, co-supervised or cooperated in the supervision of a large number of PhD and MSc theses e power systems in several countries and universities such as in Portugal, Brazil, Argentina, Bosnia, China, Ecuador, Norway or Sweden.
He has been responsible for many research projects at international level, in the European Union, United States and Brazil, and has authored or co-authored over 200 publications, especially in areas related with Power Systems and the application of Computational Intelligence to Power Systems.
He has been a member (at times the chairman) of the organizing or scientific committees of several important conferences in his areas of expertise such as PMAPS, ISAP, IEEE Power Tech, etc.
Prof. Miranda is an IEEE Fellow.
He is the recipient in 2013 of the IEEE Power Engineering Society Ramakumar Family Renewable Energy Excellence Award.He is a member of the IEEE Distinguished Lecturer Program.
Curriculum LATTES: http://lattes.cnpq.br/5824178098755298
Scopus Author ID: 35581693000 - AuthenticusID: R-000-HPD
(end)

João Manuel Portela da Gama
João Gama is a Full Professor at the Faculty of Economy, University of Porto. He is a researcher and vice-director of LIAAD, a group belonging to INESC TEC. He got the PhD degree from the University of Porto, in 2000. He is a IEEE Fellow and EurIA Fellow.
He has worked on several National and European projects on Incremental and Adaptive learning systems, Ubiquitous Knowledge Discovery, Learning from Massive, and Structured Data, etc. He served as Co-Program chair of ECML'2005, DS'2009, ADMA'2009, IDA' 2011, ECMLPKDD'2015, and ECMLPKDD 2025. He served as track chair on Data Streams with ACM SAC from 2007 till 2016. He organized a series of Workshops on Knowledge Discovery from Data Streams with ECML/PKDD, and Knowledge Discovery from Sensor Data with ACM SIGKDD. He is the author of several books on Data Mining (in Portuguese) and authored a monograph on Knowledge Discovery from Data Streams. He authored more than 250 peer-reviewed papers in areas related to machine learning, data mining, and data streams. He is a member of the editorial board of international journals ML, DMKD, TKDE, IDA, NGC, and KAIS. He (co-)supervised more than 12 PhD students and 50 MSc students.

João Manuel Portela da Gama
João Gama is a Full Professor at the Faculty of Economy, University of Porto. He is a researcher and vice-director of LIAAD, a group belonging to INESC TEC. He got the PhD degree from the University of Porto, in 2000. He is a IEEE Fellow and EurIA Fellow.
He has worked on several National and European projects on Incremental and Adaptive learning systems, Ubiquitous Knowledge Discovery, Learning from Massive, and Structured Data, etc. He served as Co-Program chair of ECML'2005, DS'2009, ADMA'2009, IDA' 2011, ECMLPKDD'2015, and ECMLPKDD 2025. He served as track chair on Data Streams with ACM SAC from 2007 till 2016. He organized a series of Workshops on Knowledge Discovery from Data Streams with ECML/PKDD, and Knowledge Discovery from Sensor Data with ACM SIGKDD. He is the author of several books on Data Mining (in Portuguese) and authored a monograph on Knowledge Discovery from Data Streams. He authored more than 250 peer-reviewed papers in areas related to machine learning, data mining, and data streams. He is a member of the editorial board of international journals ML, DMKD, TKDE, IDA, NGC, and KAIS. He (co-)supervised more than 12 PhD students and 50 MSc students.
Associated Centres
Artificial Intelligence and Decision Support
Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.

Power and Energy Systems
INESC TEC’s main actor in the energy field is the Centre for Power and Energy Systems (CPES), which falls within the Cluster Energy Systems. We at CPES are internationally recognised for our expertise in the integration of renewable energy in power systems, distributed generation, storage, smart grids and areas traditionally associated with the planning and operation of power systems. The high level of expertise developed has allowed our experts at CPES to take on key roles in important EU projects as part of the successive framework programmes that led to notable scientific and technical advances with considerable impact on industry. This has led to contracts for development and consultancy with companies manufacturing equipment and with generation, transmission and distribution companies, regulators, government agencies and investors in Europe, South America, the United States of America and Africa. At CPES, we address the following main research areas: Decision Making, Optimisation and Computational Intelligence, Forecasting, Static and Dynamic analysis of Energy Grids, Reliability, Power Electronics.
