Cookies
O website necessita de alguns cookies e outros recursos semelhantes para funcionar. Caso o permita, o INESC TEC irá utilizar cookies para recolher dados sobre as suas visitas, contribuindo, assim, para estatísticas agregadas que permitem melhorar o nosso serviço. Ver mais
Aceitar Rejeitar
  • Menu
Publicações

2022

A Clustering-based Approach for Predicting the Future Location of a Vessel

Autores
Alam, MM; Torgo, L;

Publicação
35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, Canada, May 30 - June 3, 2022.

Abstract

2022

Community Energy Markets with Battery Energy Storage Systems: A General Modeling with Applications

Autores
Guedes, W; Deotti, L; Dias, B; Soares, T; de Oliveira, LW;

Publicação
ENERGIES

Abstract
Traditional models of power systems are undergoing a restructuring process, stimulated by the growing deployment of renewable energy sources, making them more decentralized and progressively increasing the focus on the consumer. New arrangements are being explored, allowing consumers to play a more active role in energy systems, highlighting the concept of consumer-centric markets. This work presents an optimization model that considers the insertion of the battery energy storage system (BESS) in the concept of community energy markets. This model aims to increase the community income and includes the degradation of BESS, also evaluating different arrangements of BESS in the community markets. In the investigated scenarios, discussions about the feasibility of inserting BESS through the analysis of social welfare (SW) and fairness indicators were carried out. With the results, it was possible to observe that there are structures that are more advantageous from the perspective of the communities and others from the perspective of the members of the communities, bringing some insights into the different impacts of a BESS in an energy community.

2022

Online Anomaly Explanation: A Case Study on Predictive Maintenance

Autores
Ribeiro, RP; Mastelini, SM; Davari, N; Aminian, E; Veloso, B; Gama, J;

Publicação
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II

Abstract

2022

Examining the effect of quantities offered by hydraulic, renewable, non-renewable sources and thermal technologies on electricity prices in the MIBEL market through an ADRL approach

Autores
Moutinho, V; Moreira, AC; Mota, J;

Publicação
Energy Reports

Abstract

2022

Compiling Quantamorphisms for the IBM Q Experience

Autores
Neri, A; Barbosa, RS; Oliveira, JN;

Publicação
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Abstract
Based on the connection between the categorical derivation of classical programs from specifications and a category-theoretic approach to quantum information, this paper contributes to extending the laws of classical program algebra to quantum programming. This aims at building correct-by-construction quantum circuits to be deployed on quantum devices such as those available through the IBM Q Experience. Reversibility is ensured by minimal complements. Such complementation is extended inductively to encompass catamorphisms on lists (vulgo folds), giving rise to the corresponding recursion scheme in reversible computation. The same idea is then applied to the setting of quantum programming, where computation is expressed by unitary transformations. This yields the notion of 'quantamorphism', a structural form of quantum recursion implementing cycles and folds on lists with quantum control flow. By Kleisli correspondence, quantamorphisms can be written as monadic functional programs with quantum parameters. This enables the use of Haskell, a monadic functional programming language, to perform the experimental work. Such calculated quantum programs prepared in Haskell are pushed through Quipper and the Qiskit interface to IBM Q quantum devices. The generated quantum circuits - often quite large - exhibit the predicted behaviour. However, running them on real quantum devices naturally incurs a significant amount of errors. As quantum technology is rapidly evolving, an increase in reliability is likely in the future, allowing for our programs to run more accurately.

2022

Compression of Different Time Series Representations in Asphyxia Detection

Autores
Silva, B; Ribeiro, M; Henriques, TS;

Publicação
2022 10th E-Health and Bioengineering Conference, EHB 2022

Abstract

  • 9
  • 2730