Smart Homes: Intelligent Data Collection and Processing using Lynsyn

Electricity prices are constantly increasing, and household consumer demand response is a field gaining more interest. This allows the user to understand the behaviour of power consumption and therefore bring down the costs of energy by monitoring what is increasing the demand for energy. This project proposes a method that involves an algorithm that is able to forecast the electricity consumption in a household and classify what appliance is consuming more electricity at various points in time. This concept includes intelligently collecting data and processing it near the user, applying the notion of Edge Computing (collection and processing of data at the Edge, near the end-user). The methodologies used in the project consist of AI methods (i.e. RNN) and the concept of Dynamic Time Warping (DTW). Data collection is completed using Sundance Lynsyn Lite Sensor (Djupdal, et al., 2020) (Sundance, 2023)

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

1. Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.

Meet the Supervisor(s)

Tatiana Kalganova -

DEGREES AWARDED

• PhD Napier University
• Research-engineer degree Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus
• MSc (distinction) Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus

ACADEMIC POSTS

• 2000-present Lecturer Brunel University London
• 2003-2011 Business Fellow London Technology Network, LTN Link between research activities at Brunel University London and industry
• 1997-2000 PhD student Napier University
• 1994-1997 Research Assistant Belarusian State University of Informatics and Radio-electronics