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Publications

Publications by HumanISE

2023

Sizing of Urban Power Systems Based on Renewable Sources

Authors
Vidal, D; Pinto, T; Baptista, J;

Publication
Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, Guimaraes, Portugal, 12-14 July 2023.

Abstract
In recent years, sustainable power supply has become a necessary asset for the daily survival and development of populations. The incentive to the use of renewable energies has been increasing worldwide. Solar energy, in particular, is widespreading fast in countries whose location allows to obtain excellent radiation conditions. In this work, autonomous photovoltaic (PV) systems are studied, having as main aim its application in the supply of urban loads. For this purpose, a PV system is designed to supply the decorative lighting of a monument. Particular emphasis is given to studying the behavior of the energy storage system. The achieved results demonstrate that the use of this type of systems is a very efficient solution for the municipalities to supply several urban loads such as fountains, traffic lights, decorative lighting, among others. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2023

Artificial Intelligence as a Booster of Future Power Systems

Authors
Pinto, T;

Publication
ENERGIES

Abstract
Worldwide power and energy systems are changing significantly [...]

2023

MARTINE's real-time local market simulation with a semantically interoperable society of multi-agent systems

Authors
Santos, G; Gomes, L; Pinto, T; Faria, P; Vale, Z;

Publication
SUSTAINABLE ENERGY GRIDS & NETWORKS

Abstract
There is a growing complexity, volatility, and unpredictability in the electric sector that hardens the decision-making process. To this end, the use of proper decision support tools and simulation platforms becomes essential. This paper presents the Multi-Agent based Real-Time INfrastructure for Energy (MARTINE) platform that allows real-time simulation and emulation of loads, resources, and infrastructures. MARTINE uses multi-agent systems that connect to physical resources and can represent additional simulated players that are not physically present in the simulation and emulation environment, enabling the creation of complex scenarios for testing and validation. MARTINE provides the seamless integration of real-time emulation with simulated and physical resources simultaneously in a unique simulation environment, which is only possible by supporting multi-agent systems. This work presents MARTINE's integration in a semantically interoperable multi-agent systems society developed for the test, study, monitoring, and validation of the power system sector. The use of ontologies and semantic web technologies eases the interoperability between the heterogeneous systems. The case study scenario demonstrates the use of MARTINE in simulating a local community electricity market that combines real-time data from physical devices with simulated data and the use of semantic web techniques to make the system interoperable, configurable, and flexible.& COPY; 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

2023

Vision Transformers Applied to Indoor Room Classification

Authors
Veiga, B; Pinto, T; Teixeira, R; Ramos, C;

Publication
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II

Abstract

2023

Rule-Based System for Intelligent Energy Management in Buildings

Authors
Jozi, A; Pinto, T; Gomes, L; Marreiros, G; Vale, Z;

Publication
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II

Abstract

2023

Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation

Authors
Teixeira, B; Faia, R; Pinto, T; Vale, Z;

Publication
Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, Guimaraes, Portugal, 12-14 July 2023.

Abstract

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