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Conceição Nunes Rocha
I am a researcher at CPES (Power and Energy Systems), which is a R&D Centre of the INESC-TEC.
My research focus are Artificial Intelligence, modelling and statistical analysis, renewable production, distributed energy.
Projects
AI4Substation
This project aims to address the following challenges in the operation of distribution grids: 1) Reduce the cognitive load (i.e., high number of alarms) of human operators in the operation of an HV/MV substation in the distribution network. 2) Include and automate historical and online information collected by SCADA in the decision-making process. 3) Develop artificial intelligence (AI) philosophies to interact with the human operator, facilitating the adoption of technology by the operator/end user. 4) Enhance human operators' decisions in the face of a high volume of information and alarms.
Grid2C
The project aims to develop intelligent data processing applications, correlating information gathered from sensors and web services, in order to recommend actions aimed at greater and more efficient management of the distribution infrastructure and electricity supply.
Publications
Report on the 6th International Workshop on Narrative Extraction from Texts (Text2Story 2023) at ECIR 2023
Campos, R;Jorge, AM;Jatowt, A;Bhatia, S;Litvak, M;Cordeiro, JP;Rocha, C;Sousa, H;Mansouri, B;
2023
SIGIR Forum
A linear model for estimating propofol individualized dosage
Rocha, C;Mendonca, T;De Oliveira, M;Silva, ME;
2012
IFAC Proceedings Volumes (IFAC-PapersOnline)
Online Individualized Dose Estimation
Rocha, C;Mendonca, T;Silva, ME;
2009
WISP 2009: 6TH IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING, PROCEEDINGS
Time Domain BRS Estimation: Least Squares versus Quantile Regression
Gouveia, S;Rocha, C;Rocha, AP;Silva, ME;
2010
COMPUTING IN CARDIOLOGY 2010, VOL 37
Supervised theses
Validating generative AI outputs though co-generation of code and specifications
Tomás Pereira Maciel
M - 2024
UP-FEUP
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.
