4 papers
QuAnTS: Question Answering on Time Series
Felix Divo, Maurice Kraus, Anh Q. Nguyen +5
Text offers intuitive access to information. This can, in particular, complement the density of numerical time series, thereby allowing improved interactions with time series model…
Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities
Xiachong Lin, Arian Prabowo, Imran Razzak +4
The evolution of electric vehicles (EVs) is reshaping the automotive industry, advocating for more sustainable transportation practices. Accurately predicting EV charging behavior…
Embedding spatial context in urban traffic forecasting with contrastive pre-training
Matthew Low, Arian Prabowo, Hao Xue +1
Urban traffic forecasting is a commonly encountered problem, with wide-ranging applications in fields such as urban planning, civil engineering and transport. In this paper, we stu…
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics
Xiachong Lin, Arian Prabowo, Imran Razzak +4
Incorporating AI technologies into digital infrastructure offers transformative potential for energy management, particularly in enhancing energy efficiency and supporting net-zero…