PROJECTS
The UK Energy Demand Observation and Laboratory (EDOL)
Jan 24 – Present
- Contributing to the development of Observatory (2,000 representative GB homes) with high resolution, longitudinal, technical and social data disaggregated to the level of activities, appliances, and occupants.
A Total Building Performance Approach to Real-time Occupant Centric Sensing and Control for Mixed Mode Ventilation in the Tropics
Aug 21 – Dec 23
- Developed a hybrid active learning framework for data-driven thermal comfort models.
- Applied transfer learning to perform occupancy detection in information-poor buildings by using the building operation and occupancy data collected from information-rich buildings.
- Developed a novel feature selection algorithm for occupancy detection using deep learning approaches to achieve minimum sensing strategy in smart buildings.
- Performed hardware setup and system integration of various IoT sensors for occupancy sensing.
- Designed and executed a comprehensive data collection effort for retrieving real-time BMS data for building operations, indoor environmental quality, outdoor weather conditions and energy consumption together with high-resolution occupancy information.
Plug-mate: An IoT-based Occupant-driven Smart Plug Load Management System in Office Spaces
Sep 17 – Aug 21
- Developed a smart plug load management system that automates the operation of different plug loads based on the occupants’ presence information.
- Used Python to develop a Bluetooth-based indoor localisation system by deploying Raspberry Pi sensors to detect occupant presence and location using IoT and mobile sensing technologies.
- Proposed a data fusion approach which analyses occupant presence and power consumption data to detect plug load interaction.
- Developed a real-time plug load identification module that performs device-type classification using machine learning techniques.
Click the image below to watch our Plug-Mate Video!
Singapore Provisional Patent Application No: 10202101953Q , 2021
Plug-Mate: An IoT-based Occupancy-driven Smart Energy Management System for Plug Loads
Zeynep Duygu Tekler, Raymond Low, Lucienne Blessing
Geolocation-based AR Game for Climate Change Awareness and Action
Aug 20-Aug 21
A mobile game targeting children 8 to 11 years old has been developed by Singapore University of Technology and Design (SUTD) with the aim of promoting climate action and encouraging green behaviour while still providing a fun and engaging game that will educate players on what climate change and climate action is about. Utilising augmented reality, as well as geolocation function, the game is designed to provide not only an educational and engaging game to raise awareness about climate action, but to also get people to explore their environment and provide an immersive experience in which the story of the game involves the degraded world around the players.
To check our game video, click the image below
Plug-mate Interface: A Web-based User Interface for a Smart Plug Load Management System
Apr 20 – Sep 20
- Designed and developed a web-based user interface for a smart plug load management system using the Django Web Framework, HTML, CSS and Javascript.
- Integrated Dash-Plotly applications to visualise the user’s energy consumption on a smart energy dashboard.
- Integrated React applications to capture user preferred settings for different control features.
Waste Management Behavioural Framework for Singapore’s Food Manufacturing Industry
May 18 – Jan 19
- Developed a waste management behavioral framework for Singapore’s food manufacturing industry.
