Description

Theory
2

Theory/Practice
1

Laboratory
2

Instructors

Zita Vale

Contents

P1-Introduction to Artificial Intelligence(4h)
P2-Knowledge-based systems (KBS):Expert Systems;Intelligent
Tutors;Uncertainty reasoning;Fuzzy Logic;KBS Applications to Power Systems and Electricity Markets(6h)
P3-Problem Solving and Metaheuristics:Branch & Bound;A*;Tabu Search;Simulated Annealing;Genetic Algorithms;Swarm Intelligence;Ant Colony Algorithms;Problem Solving and Metaheuristics Applications to Power Systems and Electricity Markets(6h)
P4-Machine Learning: Artificial Neural Networks;Case-based Reasoning;Data Mining, Large Language Models;Application of Machine Learning to Power Systems and Electricity Markets(7h)
P5-Agents: Agents characteristics;Agent Negotiation;Agent applications in Power Systems and Electricity Markets(5h)
P6-Generative AI(2h)
P7-Research and analysis of bibliographic references; scientific paper and document writing(20h)
P8-Modeling and AI application to selected cases;Computational implementation for problem solving and application to cases(25h)

Learning Outcomes

It is envisaged that the students understand Artificial Intelligence (AI) concepts and are able to evaluate the opportunity of using AI techniques to solve problems in Power Systems (PS) and Electricity Markets (EM). It is aimed that students are able to identify the most adequate AI based technique to be used in each type of problem, especially for problems in the area of PS and EM. Apart these contributions to specific goals, SISEE also contributes to the general goals, namely: skills concerning research, reading and interpretation of bibliographic references in English; design, writing and oral presentation of scientific work in English and Portuguese.
Knowledge and skills to
O1 - participate in computational applications using AI techniques to solve PS and EM problems specification, modeling, and design
O2 - participate in the selection and use of AI application to PS and EM
O3 - apply solution for specified problems, analyze and compare results, identify erroneous or doubtful situations, and discuss possible enhancements in the problem solving process, in the course area
O4 - identify the opportunities for applying AI techniques to solve PS and EM problems
O5 - to identify the most adequate technique to solve the identified problems
O6 - to identify social and security issues related with the use of AI techniques to address real PS and EM problems
O7 - bibliographic references research, reading, and interpretation
O8 - design, writing, and oral presentation of technical and scientific works in Portuguese and English, in the course areas