PENG9620 Smart cities for a Sustainable Energy Future - From Design to Practice Emneplan

All aids are permitted.

Bachelor's or master's degree in engineering or science.

Pass or fail.

Two internal examiners. External examiner is used periodically.

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.

Master's degree in engineering science or related fields. Students are expected to have a basic understanding of the various phases of planning and implementing a research project and the academic writing process, including literature reviews, and analysing and reporting data

The students will acquire a broad and concrete theoretical and practical perspective on the production and consumption of empirical research across the fields that compose engineering science. applied mathematics and physics in the broad sense, engineering and technology. They will be familiarised with how practical problems from these areas are translated into research questions and with how research problems can be defined in order to answer those research questions. The students will be introduced to a spectrum of quantitative, qualitative and mixed-method approaches, building on their exising expert knowledge, and learn how quantitative and qualitative analytical methods can provide insight into contemporary research issues in engineering science.

The results for the project assignment, process description, and the code will be assessed by the course leader. The exam can be appealed.

All aids are permitted.

Pass or fail.

One examiner. External examiner is used periodically.