Luís Guimarães

Domains

Industrial Engineering and Management Power and Energy Systems

Projects

iMAN

Project datasheet (PT)

T4CDTKC

This project aims to outline an innovative training program oriented to the development of skills around the themes inherent to the i4.0 industry. Within this scope, the structure of the programme is defined, the production of the thematic contents to be explored based on the pedagogical methodology adopted. A teaching-learning methodology centred on an online platform is explored, having as central element a collection of videos complemented by a set of 'handouts' that organise the set of key messages and 'take-ways' associated to each module.

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Publications

Performance evaluation and benchmarking to inform dispatching rules for hydropower plants

Barbosa, F;Casacio, L;Bacalhau, ET;Leitao, A;Guimaraes, L;

2024

UTILITIES POLICY

Electric charging demand forecast and capture for infrastructure placement using gravity modelling: a case study

Rodrigues, G;Barbosa, F;Schuller, P;Silva, D;Pereira, J;Azevedo, R;Guimaraes, L;

2023

2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC

Multiobjective Evolutionary Clustering to Enhance Fault Detection in a PV System

Yamada, L;Rampazzo, P;Yamada, F;Guimaraes, L;Leitao, A;Barbosa, F;

2023

OPERATIONAL RESEARCH, IO 2022-OR

Mathematical Formulation of Markov Decision Process to Address Maintenance Policy in Photovoltaic Farms

Bacalhau, ET;Barbosa, F;Casacio, L;Yamada, F;Guimarães, L;

2023

Proceeding of the 33rd European Safety and Reliability Conference

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Supervised theses

Melhoria da Qualidade dos Dados para Desenvolvimento de Modelos de Inteligência Artificial em Processos de Gestão de Meios Complementares de Diagnóstico e Terapêutica

Daniela Martins Silva

M - 2024

UP-FEUP

Centres

Industrial Engineering and Management

The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.