Call for Papers
Submission Guidelines
Please submit through
https://acmbalances24.hotcrp.com/.
And register through
https://buildsys.acm.org/2024/.
Agenda
Onsite time:Nov 6 8:30am; All Times in BJT
Location:Room Mengquan
10:35am-10:40am
Closing Remarks
09:50am-10:35am
Presentation 5-7, 15 minutes for each presentation and Q&A
09:50-10:05 Reducing Carbon Emissions at Scale: Interpretable and Efficient to Implement Reinforcement Learning via Policy Extraction
Judah Goldfeder (Columbia University,Google) John Sipple (Google)
10:05-10:20 Analyzing the Performance of Time Series Foundation Models for Short-term Load Forecasting
Harish Kumar Saravanan (Indian Institute of Science) Shivam Dwivedi (Indian Institute of Science) Praveen P (Indian Institute of Science) Pandarasamy Arjunan (Indian Institute of Science)
10:20-10:35 A Data-driven Framework for Occupant-centric Demand Flexibility Potential Evaluation at Scale
Yufei Zhang (EPFL) Yang Deng (The Hong Kong Polytechnic University) Rui Liang (The Hong Kong Polytechnic University) Yaohui Liu (The Hong Kong Polytechnic University) Dan Wang (The Hong Kong Polytechnic University) Andrew Sonta (EPFL)
09:40am-09:50am
Break
08:40am-09:40am
Presentation 1-4, 15 minutes for each presentation and Q&A
08:40-08:55 A Machine Learning Framework for Optimising Indoor Thermal Comfort and Air Quality through Sensor Data Streams
Chun Wai Chiu (University of Kent) Christos Efstratiou (University of Kent) Marialena Nikolopoulou (University of Kent) Matthew Barker (Baxall Construction Ltd.) Andrew Baldwin (Baxall Construction Ltd.) Malcolm Clarke (Baxall Construction Ltd.)
08:55-09:10 Investigating Domain Bias in NILM
Tanmaey Gupta, Anupam Sobti, Akshay Nambi Justus Breyer (Communication and Distributed Systems, RWTH Aachen University) Sparsh Jauhari (RWTH Aachen University) René Glebke (Communication and Distributed Systems, RWTH Aachen University) Muhammad Hamad Alizai (LUMS) Markus Stroot (IAEW, RWTH Aachen University) Klaus Wehrle (RWTH Aachen University)
09:10-09:25 Towards Photovoltaic System Operation by Data-driven Models: System Deployment and New Insights
Ka Tai LAU (Electrical and Mechanical Services Department, HKSAR) Fang HE (The Hong Kong Polytechnic University) Dan WANG (The Hong Kong Polytechnic University)
09:25-09:40 Multi-source Transfer Learning in Reinforcement Learning-based Home Battery Controller
Seyed Soroush Karimi Madahi (IDLab, Ghent University - imec) Toon Van Puyvelde (IDLab, Ghent University - imec) Gargya Gokhale (IDLab, Ghent University - imec) Bert Claessens (Beebop) Chris Develder (IDLab, Ghent University - imec)
