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20192021
most citedAdaptive Event Detection for Representative Load Signature Extraction

4 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP20211 cited

Event-driven Two-stage Solution to Non-intrusive Load Monitoring

Lei Yan, Wei Tian, Jiayu Han +1

Existing methods of non-intrusive load monitoring (NILM) in literatures generally suffer from high computational complexity and/or low accuracy in identifying working household app…

eess.SP20214 cited

Adaptive Event Detection for Representative Load Signature Extraction

Lei Yan, Wei Tian, Jiayu Han +1

Event detection is the first step in event-based non-intrusive load monitoring (NILM) and it can provide useful transient information to identify appliances. However, existing even…

eess.SY2020

LfEdNet: A Task-based Day-ahead Load Forecasting Model for Stochastic Economic Dispatch

Jiayu Han, Lei Yan, Zuyi Li

Load forecasting is one of the most important and studied topics in modern power systems. Most of the existing researches on day-ahead load forecasting try to build a good model to…

eess.SY20193 cited

A Multi-timescale Two-stage Robust Grid-friendly Dispatch Model for Microgrid Operation

Jiayu Han, Lei Yan, Liuxi Zhang +3

Uncertainty in renewable energy generation and load consumption is a great challenge for microgrid operation, especially in islanded mode as the microgrid may be small in size and…

eess.SP20192 cited

LIFTED: Household Appliance-level Load Dataset and Data Compression with Lossless Coding considering Precision

Lei Yan, Jiayu Han, Runnan Xu +1

The issue of estimating the detailed appliance level load consumption has received considerable attention. This paper first presents a Labelled hIgh-Frequency daTaset for Electrici…