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Continually learning out-of-distribution spatiotemporal data for robust
  energy forecasting

Continually learning out-of-distribution spatiotemporal data for robust energy forecasting

10 June 2023
Arian Prabowo
Kaixuan Chen
Hao Xue
Subbu Sethuvenkatraman
Flora D. Salim
    OOD
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Papers citing "Continually learning out-of-distribution spatiotemporal data for robust energy forecasting"

4 / 4 papers shown
Title
BTS: Building Timeseries Dataset: Empowering Large-Scale Building
  Analytics
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
Arian Prabowo
Xiachong Lin
Imran Razzak
Hao Xue
Emily W. Yap
Matthew Amos
Flora D. Salim
AI4TS
AI4CE
21
3
0
13 Jun 2024
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data
  in Buildings
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings
Xiachong Lin
Arian Prabowo
Imran Razzak
Hao Xue
Matthew Amos
Sam Behrens
Stephen White
Flora D. Salim
21
0
0
23 May 2024
Navigating Out-of-Distribution Electricity Load Forecasting during
  COVID-19: Benchmarking energy load forecasting models without and with
  continual learning
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
Arian Prabowo
Kaixuan Chen
Hao Xue
Subbu Sethuvenkatraman
Flora D. Salim
21
2
0
08 Sep 2023
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training
  (SCPT)
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)
Arian Prabowo
Hao Xue
Wei Shao
Piotr Koniusz
Flora D. Salim
AI4TS
17
12
0
09 May 2023
1