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Conceição Nunes Rocha
Assistant Researcher
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.
Publications
On-line atracurium dose prediction: a nonparametric approach
Rocha, C;Mendonça, T;Silva, ME;
2022
IEEE Conference on Control Technology and Applications, CCTA 2022, Trieste, Italy, August 23-25, 2022
A Fokker-Planck approach to joint state-parameter estimation
Lemos, JM;Costa, BA;Rocha, C;
2018
IFAC PAPERSONLINE
Individualizing propofol dosage: a multivariate linear model approach (vol 28, pg 525, 2014)
Rocha, C;Mendonca, T;Silva, ME;Gambus, P;
2017
JOURNAL OF CLINICAL MONITORING AND COMPUTING
Probabilistic Description of Model Set Response in Neuromuscular Blockade
Rocha, C;Lemos, JM;Mendonça, T;Silva, ME;
2013
Advances in Systems Science - Proceedings of the International Conference on Systems Science 2013, ICSS 2013, Wroclaw, Poland, September 10-12, 2013
Supervised Theses
Resilience in a MultiLayer Network in the Automotive Industry
Ana Filipa Alves Nogueira
M - 2019
UP-FEP
Mapeamento automático da topologia de redes inteligentes de baixa tensão
João Afonso da Silva Picão
M - 2019
UP-FEUP
Centres
Power and Energy Systems
The Centre for Power and Energy Systems (CPES) is a global reference in the large-scale integration of renewable-based electricity generation into the power system.We research and develop advanced solutions that enable the monitoring, control, optimisation, and forecasting of electricity production and consumption, as well as multi-energy systems. Our work supports the decarbonisation of the energy system, the electrification of society, and the large-scale integration of renewables, making power grids more flexible, intelligent, and resilient.Our research results include models, methodologies, hardware, and software (much of it open source) designed for various energy sector stakeholders, including citizens, communities, service providers, system operators, regulators, policy-makers, and governmental bodies.We operate a Smart Grids and Electric Vehicles Laboratory – the X-Energy Lab (link) – where we validate technological advancements in real-world conditions, ensuring that our solutions have a tangible impact on the energy sector.Thanks to our expertise, we hold a prominent role in both national and international projects supporting the energy transition, while also providing direct services to key players in the electricity sector.
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.
