明星八卦

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)

明星八卦 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: /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. 明星八卦 alumni enjoy tuition fee discounts of 15%.