Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors

4 January 2025

Papers citing "Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors"

6 / 6 papers shown

Title
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 63 20 0 18 Oct 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 65 90 0 18 Apr 2021
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network Yonghong Luo Chao Lu Lipeng Zhu Jie Song 56 57 0 05 Mar 2021
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction Ling Zhao Yujiao Song Chao Zhang Yu Liu Pu Wang Tao Lin Min Deng Haifeng Li AI4TS 86 2,030 0 12 Nov 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016