Programplaner og emneplaner - Student
PENG9620 Smart cities for a Sustainable Energy Future - From Design to Practice Course description
- Course name in Norwegian
- Smart cities for a Sustainable Energy Future - From Design to Practice
- Study programme
-
PhD Programme in Engineering Science
- Weight
- 5.0 ECTS
- Year of study
- 2022/2023
- Programme description
- Course history
-
Introduction
This course covers contemporary topics in smart energy systems such as smart power grid, smart buildings, vehicle-to-grid (V2G) and communication technologies for and network security in smart energy systems, including emerging approaches towards energy intelligence such as machine learning and blockchain.
The course will be offered once a year, provided 5 or more students sign up for the course. If less than 5 students sign up for a course, the course will be cancelled for that year
Recommended preliminary courses
This course will contain the following topics:
- Sampling, reconstruction and aliasing
- Impulse response and difference equations
- Fourier series and Fourier transform
- Frequency analysis and frequency response
- Transfer functions, filter design of FIR and IIR filters
- Image presentation and processing
Required preliminary courses
None.
Learning outcomes
None
Content
The course is divided into three modules.
The first module covers lectures on economic interactions for the energy market, focusing mainly on applications such as demand response management (DRM), and vehicle-to-grid (V2G), etc.
The second module consists of lectures on current and emerging approaches such as machine learning and blockchain for energy intelligence and network security.
The third module will be a seminar which will include a hands-on session on tools such as optimisation and machine learning for solving specific problems in future energy information networks, and will conclude with a project assignment to be submitted by a given deadline.
Teaching and learning methods
Exam autumn 2021 due to Covid-19:
Individual digital home exam, 3 hours and 30 min to upload/scan.
The exam grade can be appealed.
New/postponed exam
In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.
In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.
[Exam earlier:]
Individual written exam, 3 hours.
The exam grade can be appealed.
New/postponed exam
In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.
In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.
Course requirements
All written material, but no communication will be allowed.
Assessment
For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.
Permitted exam materials and equipment
Two internal examiners. External examiner is used periodically.
Grading scale
Associate Professor Nils Sponheim
Examiners
Signal Processing or knowledge of the Fourier and Laplace transforms. Some knowledge of Matlab progamming.