Forecasting

Code:

EEC0118

Acronym:

TPRE

Keywords
Classification	Keyword
OFICIAL	Power

Instance: 2018/2019 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEEC	34	Syllabus	5	-	6	56	162

Teaching language

Portuguese

Objectives

Knowledge on different forecasting techniques and on the application specificity of forecasting electricity consumption, electricity markets prices and energy production.

Learning outcomes and competences

Competences on building forecasting model based on temporal series analysis. Ability to implement forecasting models based on neural networks. Competences on the performance evaluation of forecasting models. Knowledge and practice on available computational applications for building forecasting models.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Fundamental concepts on electrical power systems.

Program

Forecasting techniques: Regression models. Time series analysis. Forecasting based on computational intelligence techniques. Load forecasting for short, medium and lon term. Wind and solar forecasting. Energy market prices forecasting.

Mandatory literature

Makridakis, Spyros; Forecasting

Teaching methods and learning activities

Theory classes supported by multimedia.

Pratical classes based on the analysis of typical examples and development of field works.

Software

Matlab
Excel
SPSS 17.0

keywords

Physical sciences > Mathematics > Computational mathematics > Computational models
Physical sciences > Computer science > Systems design > Neural networks
Technological sciences > Technology > Electrical technology
Technological sciences > Engineering > Electrical engineering

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho de campo	50,00
Trabalho escrito	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	33,00
Frequência das aulas	48,00
Trabalho de campo	48,00
Trabalho escrito	33,00
Total:	162,00

Eligibility for exams

According to faculty regulation.

Calculation formula of final grade

50% TC + 50% TE

The components TC (field work) and TE (writen work) intend to represent the students performance in the practical classes and in the reports related to the practical works proposed.

The forecasts should be delivered individually.

Special assessment (TE, DA, ...)

Same rules.

Classification improvement

The improvement of classification is only possible with the execution of a new work in the following academic year.