5 papers
SARIMAX-Based Power Outage Prediction During Extreme Weather Events
Haoran Ye, Qiuzhuang Sun, Yang Yang
This study develops a SARIMAX-based prediction system for short-term power outage forecasting during extreme weather events. Using hourly data from Michigan counties with outage co…
Noise or Signal? Deconstructing Contradictions and An Adaptive Remedy for Reversible Normalization in Time Series Forecasting
Fanzhe Fu, Yang Yang
Reversible Instance Normalization (RevIN) is a key technique enabling simple linear models to achieve state-of-the-art performance in time series forecasting. While replacing its n…
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen, Tianyu Cao, Jing Xu +4
Time Series Classification (TSC) encompasses two settings: classifying entire sequences or classifying segmented subsequences. The raw time series for segmented TSC usually contain…
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Jianyu Xu, Qiuzhuang Sun, Yang Yang +2
The 2019-20 Australia bushfire incurred numerous economic losses and significantly affected the operations of power systems. A power station or transmission line can be significant…
Early Prediction of Natural Gas Pipeline Leaks Using the MKTCN Model
Xuguang Li, Zhonglin Zuo, Zheng Dong +1
Natural gas pipeline leaks pose severe risks, leading to substantial economic losses and potential hazards to human safety. In this study, we develop an accurate model for the earl…