37 citations · 59 across the 12 of their papers we have counts for
4 papers · 1 filter
Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation
Yiyan Li, Lidong Song, Yi Hu +4
This paper introduces a Generative Adversarial Nets (GAN) based, Load Profile Inpainting Network (Load-PIN) for restoring missing load data segments and estimating the baseline for…
MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations
Yi Hu, Yiyan Li, Lidong Song +5
This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously. T…
A TCN-based Hybrid Forecasting Framework for Hours-ahead Utility-scale PV Forecasting
Yiyan Li, Lidong Song, Si Zhang +5
This paper presents a Temporal Convolutional Network (TCN) based hybrid PV forecasting framework for enhancing hours-ahead utility-scale PV forecasting. The hybrid framework consis…
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles
Lidong Song, Yiyan Li, Ning Lu
It is a common practice for utilities to down-sample smart meter measurements from high resolution (e.g. 1-min or 1-sec) to low resolution (e.g. 15-, 30- or 60-min) to lower the da…