Teaching
IN5410 - Energy Informatics (Regular course every Spring at UiO; 10 Credits; from 2019)
IN5460 - Artificial Intelligence for Energy Informatics (Regular course every Autumn at UiO; 10 Credits; from 2023)
Summer School on From Energy Systems to Energy Justice, Aug. 29-Sept. 2, 2022, Sundvollen Norway (Annual Summer School)
Summer School on Green computing meets green energy, Sept. 6-10, 2021, University of Lille, France. (Annual Summer School)
Summer School on Smart Cities for a Sustainable Energy Future- From design to practice, Aug. 19-30, Technical University of Berlin, Germany (Annual Summer School)
Summer School on Future Energy Information Networks, (Annual Summer School), Sept. 16-20, 2018, Simula Research Laboratory, Fornebu, Norway
INF5870 - Energy Informatics (Regular course every Spring at UiO; 10 Credits; from 2017-2018; Course code changed to IN5410 from 2019)
INF5050/9050 (UiO Course) Protocols and Routing in Internet: Guest lecture on Wireless LAN (2015)
INF5910/9910 (UiO Course) – Cyber Physical Systems (2010-2012, as Teaching Assistant)
INF5040/9040 (UiO Course) – Open Distributed Systems (2009, as Teaching Assistant)
Sustainable Development and Integrated Management Approach Tokyo Institute of Technology, Japan (2007-2009, as Teaching Assistant)
International Development Projects with Case Method, Tokyo Institute of Technology, Japan (2007-2009, as Teaching Assistant)
Lecturer, Department of Electronics and Computer Engineering, Kantipur Engineering College, Nepal (2004-2006)
Semester: Spring (Offered: from 2017 onwards)
The course provides an introduction to how informatics methods, techniques and tools can contribute to creating the sustainable energy systems of the future. Topics covered include machine learning, cloud computing, fog computing, Blockchain, data center, game theory and optimization and their application in different kinds of energy systems such as smartgrids with integrated solar and wind power, energy storage and electric vehicles.
After having taken this course you have:
knowledge about different energy systems - e.g., smart grid, electric vehicles, vehicle-to-grid, storage, transport, buildings
knowledge about renewable energy resources - e.g., solar and wind, and their impacts on energy systems
an understanding for smart grid concepts & components, including smart meters, advanced metering infrastructure, information networks, demand response, and pricing schemes
an understanding of where and how computer science techniques - e.g., machine learning, cloud computing, fog computing, Blockchain, data center, game theory, optimization, apply for future sustainable energy systems
learned how to model power systems with software tools and real data sets to assess impact of smart grid concepts, integration of renewable resources, storage and electric vehicles
met invited speakers from industry and understood the good connection between principles and their applications in real systems.
IN5460 - Artificial Intelligence for Energy Informatics
The course provides an introduction to the application of artificial intelligence techniques and algorithms for data driven intelligent decision making in the area of smart and sustainable energy and transport systems of the future. Major focus will be on the application of deep learning and advanced machine learning techniques. Topics covered in the course include fundamental concepts related to smart and sustainable energy and transport systems, such as demand response, energy management, energyinformatics, electric mobility and energy efficiency, and applications of deep learning algorithms and advanced machine learning concepts to solve typical decision making problems in this area.
After having taken this course you will have:
knowledge about smart and sustainable energy and transport systems such as smart grid, electric vehicles and internet of vehicles.
learnt about fundamental concepts and techniques/algorithms related to deep learning and advanced machine learning - e.g., recurrent neural networks, convolutional neural networks, deep reinforcement learning, federated learning, generative adversarial networks, etc.
knowledge about typical data driven intelligent decision making problems for smart and sustainable energy and intelligent transport systems.
analyzed and developed an understanding of which techniques/algorithms can be applied to solve which kind of problems in future smart and sustainable energy and intelligent transport systems.
learnt using software tools and real data sets to solve some of those problems, and understood how the performance of different techniques/algorithms compare.
met invited speakers from industry, and from their lectures experienced how academic concepts and algorithms are deployed in real systems.
Summer School on From Energy Systems to Energy Justice,
Aug. 29-Sept. 2, 2022, Sundvollen Norway
The partners of the two projects LUCS and PACE, University of Oslo, Norway, Simula Metropolitan Center for Digital Engineering, Norway, University of Stavanger, Norway, University of Lille, France, Technical University of Berlin, Germany, GT-ARC, Germany, and Technical University of Munich, Germany, are jointly organizing the Summer School From Energy Systems to Energy Justice.
The target audience for the summer school is early-stage PhD students and MSc students in the related degree programs of any institution worldwide. Well-qualified Bachelor students are also welcome to apply, but priority will be given to higher level applicants. Students from the host universities and institutes are particularly encouraged to apply.
Location: Sundvolden Hotel, Dronningveien 2, 3531 Krokkleiva, which is close to the city of Oslo, Norway. Hosted by University of Oslo.
Dates: August 29—September 2, 2022.
The transition to a globally sustainable low-carbon emission society requires a significant increase in the use of renewable energy, improving energy efficiency, and reducing energy consumption. We are facing increased decentralized energy production, and digitalization of the whole value chain. We must learn to exploit state-of-the-art ICT methods, tools and techniques to achieve sustainable energy generation and use. However, the technical aspect is just one part of this equation, where the social aspect is just as important. There is a need to integrate technological and social science research to develop solutions that adopt the perspectives of social inclusion and energy justice in developing new solutions. That is, inclusion of all groups in society and policy approaches to support fair distribution of energy generated on-site, costs and benefits, the recognition of all involved groups, and fair representation in decision making. New knowledge is increasingly at the intersection of Energy technology, Energy Informatics, Communication systems, Social Sciences, Psychology, and Data and Energy Law.
This year's summer school focuses on these areas of intersection and tools that facilitate research at these intersections. Energy sharing and decentralized markets require mechanisms to securely and privately facilitate the interactions in fair and equitable ways. Battery management and storage systems help enable stable connectivity. Simulation and emulation tools help us to examine how these interactions will play out in future systems. Optimization is a powerful tool to help us to find the best approaches to the interactions. Adopting this approach will enable us to address the cross disciplinary aspects necessary to develop a holistic and autonomous framework for transactive energy management.
Energy sharing: Local Markets and Community Energy Storage
Battery Management Systems and Industry Scale Storage Solutions
Energy system simulation and emulation
Microgrids and Virtual power plants
Energy justice: Social, psychological, and regulatory aspects of the energy transition
Security and Privacy of Energy Systems and Local Energy Markets
Decentralized Markets Design and Models for Sustainable Energy Systems
The list of speakers will be updated continually. To find a list of confirmed speakers and their titles and abstracts, please go here. The final program, is available here.
The lectures will cover the recent trends and modern approaches in the above topics. Lectures in each field will be presented from various perspectives, encompassing technical and social aspects from both academics and industry. In addition, the summer school will include hands-on work in the form of a tutorial on optimization conducted by the authors of the Julia package on Unit Commitment.. Finally, 1-minute madness presentations from students to introduce their current research will align interests and lead to future collaboration.
Summer School on Green computing meets green energy,
Sept. 6-10, 2021, University of Lille, France.
University of Lille, France, Simula Metropolitan Center for Digital Engineering, Norway, University of Oslo, Norway, University of Stavanger, Norway, Technical University of Berlin, Germany, GT-ARC, Germany, and Technical University of Munich, Germany, are jointly organizing the Summer School on Green Computing meets Green Energy.
The target audience for the summer school is early-stage PhD students and MSc students in the related degree programs of any European institution. Students from the host universities and institutes are particularly encouraged to apply.
Green Energy is produced from renewable sources, while Green Computing refers to the study and practice of environmentally sustainable computing. The goal of green computing, therefore, consists in maximizing energy efficiency and the use of renewable energy.
Modern IT systems rely upon a complicated mix of people, networks, and hardware; as such, green computing must cover all of these areas. Cloud computing and large data centres have a severe impact on the worldwide energy demand accounting for about 1% of the world's total energy use in 2018, and thus are a primary focus for proponents of green computing. Data transmission networks account for a similar share. This calls for integrating renewable power sources in order to progress towards carbon-free cloud and networking infrastructures. Energy-efficient data centre design should address all of the energy use aspects included in a data centre: from the IT equipment to the HVAC (Heating, Ventilation and Air Conditioning) equipment.
The efficiency of algorithms and protocols affects the number of computer resources required for any given computation or communication function and there are many efficiency trade-offs in writing software programs. This meeting of green computing with green energy poses special challenges: green energy from solar and wind fluctuates and can be intermittent. Novel mechanisms to shift processing to times when green energy is available or other locations that have a current abundance of green energy are important. This particular form of demand-response applications in large-scale data centres can also bolster the stability and efficiency of power grids, which becomes increasingly challenging and important with the prevalence of distributed renewable generation.
Summer School on Smart Cities for a Sustainable Energy Future- From design to practice,
Aug. 19-30, Technical University of Berlin, Germany
Summer School Program
Summer School on Future Energy Information Networks
Sept. 16-20, 2018, Simula Research Laboratory, Fornebu, Norway
Simula Metropolitan Center for Digital Engineering, the University of Oslo and the Technical University of Berlin are organizing a Summer School in Future Energy Information Networks from September 3-7, 2018.
The summer school will cover contemporary topics in smart energy systems, such as smart power grid, vehicle-to-grid (V2G) and communication technologies, as well as network security for smart energy systems, and explore emerging approaches towards energy intelligence such as machine learning and blockchain. Students will participate in a series of lectures from speakers from academia and industry, as well as work on a project assignment.
Master's and early PhD students are encouraged to apply for thesummerschool. Candidates with a Master's degree that are currently working and have great interest in the summer school are also welcome to apply; their academic profile and letters of support and motivation will be carefully considered for assessing their applications.
The summer school will be hosted at Simula Research Laboratory, Norway.