Chalmers -- Computer Science and Engineering

Electrical Grid

Data-driven support for cyber-physical systems

Fall semester, study period 1, 2018/2019

(DAT300/DIT615 -- Masterclass in Areas of advance)


Course Description

Associate Professor Magnus Almgren, phone: 031-772 1702, email: magnus.almgren

Associate Professor Marina Papatriantafilou, phone: 031-772 5413, email: ptrianta

This is a masterclass in the areas of advance, giving an overview of how important technologies from the Information and Communication Technologies (ICT) area that is being used in other domains to make them more efficient ("smart"), with several examples drawn from the smart grid but other infrastructures are also used in the lectures and for the projects. The focus is on algorithms, distributed computing, communication and security.

The course is built around (i) seminars and (ii) project work. Through the seminars you learn about the design or development of systems, infrastructure, and applications that are related to other domains such as the electric power smart grid, with a focus on distributed algorithms and security. You are expected to participate actively in discussions. Through the second part of the course, you are also expected to complete lab work, i.e. a significant project with interdisciplinary relevance to another domain (such as the smart grid). In this way you will also gain experience at the front connecting research and education in the main domain overlapping two of the Areas of Advance, namely ICT and Energy/Transportation/Building Technology/etc. Your project should be presented and demonstrated for your peers, and documented through a technical report. Through your presentations, you will also get feedback and learn to better present materials to your peers. Through your report, you will improve your skills in technical writing (connected to DAT147).

The course memo can be found here.

Recommended text book
The class sessions are build around seminars, lecture notes, research papers and project work.

Study Material - Lectures and list of papers

The course will start with lectures from faculty and invited speakers. You will also in the first week form a group and work on a project. As part of that work, you should find and connect your work to the scientific literature. As such, each group/project will touch upon a series of scientific articles, both to give an introduction to our work and then support you in your respective projects. We have assembled a list of papers from which you can choose: You may also suggest your own papers, but they need to be challenging and of sufficient theoretical depth. These papers should be connected to your project and support your work (for example in that you implement a suggested algorithm, evaluate two algorithms, etc.).

For both presentations and project report, please take a careful look at the lectures/instructions at the technical writing course: or the current one in PingPong if you are registered.

Currently, we have the following speakers lined up for 2018. In August we will schedule exact times for them (below). Titles will change.

Project Information

A major part of the course will evolve around the projects (see here for suggestions ). Our idea is that this should be a hands-on approach, but for each project we also expect you to read scientific papers. These will help you for the implementation but also show research problems. We know that the seven weeks will go by very quickly, so you will need to have decided on your project (and your group) in the first week. We are in the process of extending our testbed, and we can promise you some cool gadgets for you to build your project upon. At project start, we will share access with a github for you to look at (and possibly extend earlier projects) as well as discuss available hardware that you can use in your projects, and available data.


The following is expected of you, if you decide to pursue this course.

Schedule, notes, slides and other course material

The following course material is electronically available by following the links below. Please note that the slides alone do not give a full coverage of the course contents. The schedule of the course is listed in timeedit. Participation is mandatory.

Monday 2018-09-03, 1000-1145, EL42 Introduction and Administration, GitHub
Wednesday 2018-09-05, 1000-1145, Analysen Project decisions, etc.
Thursday 2018-09-06, 1315-1500, Analysen Introduction to Electric Power Systems, Jimmy Ehnberg (Chalmers EE)
SW1 DEADLINE, 2018-09-09 Forming a group + choose a project. Add in your progress report what problem you are going to solve and why it is important.
Monday 2018-09-10 Wireless networks for IoT, Olaf Landsiedel (Chalmers CSE)
Wednesday 2018-09-12 Course Administration + Short team presentations
SW2 DEADLINE, 2018-09-16 Submit a workplan + supporting scientific papers.
Monday 2018-09-17 Introduction to Data Streaming, Vincenzo Gulisano (Chalmers CSE)
Wednesday 2018-09-19 Advanced Metering Infrastructure, Joris van Rooij (Göteborg Energi/ Chalmers CSE), Lidar point cloud processing, Hannah Najdataei (Chalmers)
Monday 2018-09-24 Automation in Production Systems, Maziar Mashaei (Flexlink) + Short Team Presentations
Wednesday 2018-09-26 Computing Infrastructures for successful industrial environments, August Ramle (ABB) + Short Team Presentations
Thursday 2018-09-27, 09-10 Power Systems Communications - Essential Parts of a Future ELectrical Grid, Göran Ericsson (Swedish Grid)
SW4 DEADLINE, 2018-09-30 (1) Submit an *individual* mid-term progress report, as well as (2) an outline of your final report written by the full team.
Monday 2018-10-01 Intrusion Detection for Industrial Control Systems: theory and handson experience, Wissam Aoudi (Chalmers)
Wednesday 2018-10-03 The Industrial Cloud: techniques and tools, Wolfgang John (Ericsson) (distributed over slack)
SW5 DEADLINE, 2018-10-07 Submit an *individual* peer-review over another team's outline of their report
Monday 2018-10-08 The need for ICT and analysis for buildings, Pär Johansson (Chalmers)
Wednesday 2018-10-10 How the trend with self-driving and connected cars requires security, Christian Sandberg (Volvo Trucks)
Monday 2018-10-15 group time to work on project, no scheduled lecture
Wednesday 2018-10-17 Understanding security for industrial processes, Rikard Bodforss (security consultant)
Monday 2018-10-22 Security challenges in telecom (cloud, containers, 3PP, design, security testing), Mathias Weibull (Ericsson) + Short Team Presentations
Wednesday 2018-10-24 group time to work on project, no scheduled lecture
REPORT DEADLINE 2018-10-28 Submit your final project-report, as a group. Name the file FinRepGrp[X]_[GRPNAME].pdf
Wednesday 2018-10-31 Final project presentations, starting 9:00; each group has 15 min for presentation + 10 min for questions

Course Evaluation

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Latest change 2018-08-31