Code: | EEC0118 | Acronym: | TPRE |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Power |
Active? | Yes |
E-learning page: | http://moodle.up.pt/ |
Responsible unit: | Department of Electrical and Computer Engineering |
Course/CS Responsible: | Master in Electrical and Computers Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIEEC | 50 | Syllabus (Transition) since 2010/2011 | 5 | - | 6 | 63 | 162 |
Syllabus | 5 | - | 6 | 63 | 162 |
Knowledge on different forecasting techniques and on the application specificity of forecasting electricity consumption, electricity markets prices and energy production.
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.
Forecasting ntechniques: 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.
Theory classes supported by multimedia.
Pratical classes based on the analysis of typical examples and development of field works.
Description | Type | Time (hours) | Weight (%) | End date |
---|---|---|---|---|
Attendance (estimated) | Participação presencial | 56,00 | ||
Trabalho de campo | 20,00 | 20,00 | 2012-10-26 | |
Trabalho de campo | 35,00 | 30,00 | 2012-11-25 | |
Trabalho de campo | 35,00 | 30,00 | 2012-12-21 | |
Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese | 2,00 | 20,00 | 2013-01-11 | |
Total: | - | 100,00 |
80% TP + 20% SD
TP = average of practical field works classification
SD = works discussion
Minimun required for easch component (TP e SD) = 50%