activity
20242026
most citedBiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics

3 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting

Xiachong Lin, Du Yin, Hao Xue +5

Multivariate time-series forecasting faces a structural dilemma: sharing one temporal predictor across variables is parameter-efficient but forces heterogeneous variables through a…

cs.AI2026

TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting

Xiachong Lin, Du Yin, Arian Prabowo +6

Building sensors are embedded in physical topology, spatial hierarchy, and operational context, yet existing forecasters often treat them as isolated time series or rely on fixed c…

cs.AI2026

ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph

Kirtan Bhatt, Xiachong Lin, Matthew Amos +2

Multi-zone HVAC control is a spatial decision problem in which indoor thermal evolution and control decisions depend not only on outdoor conditions and internal heat gains but also…

eess.SY2025

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…

cs.CE2024★ 3 cited

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…

cs.CY2024★ 1 cited

Exploring Capabilities of Time Series Foundation Models in Building Analytics

Xiachong Lin, Arian Prabowo, Imran Razzak +4

The growing integration of digitized infrastructure with Internet of Things (IoT) networks has transformed the management and optimization of building energy consumption. By levera…

cs.LG2024★ 2 cited

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics

Arian Prabowo, Xiachong Lin, Imran Razzak +4

Buildings play a crucial role in human well-being, influencing occupant comfort, health, and safety. Additionally, they contribute significantly to global energy consumption, accou…

cs.LG2024

A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings

Xiachong Lin, Arian Prabowo, Imran Razzak +4

The increasing demand for sustainable energy solutions has driven the integration of digitalized buildings into the power grid, leveraging Internet-of-Things (IoT) technologies to…