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2408.08399
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An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains
15 August 2024
Weijie Xia
Gao Peng
Chenguang Wang
Peter Palensky
Eric Pauwels
Pedro P. Vergara
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Papers citing
"An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains"
6 / 6 papers shown
Title
Generating Synthetic Net Load Data with Physics-informed Diffusion Model
Shaorong Zhang
Yuanbin Cheng
Nanpeng Yu
DiffM
48
2
0
04 Jun 2024
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami
Konrad Szafer
Arjun Choudhry
Yifu Cai
Shuo Li
Artur Dubrawski
AIFin
AI4TS
66
109
0
06 Feb 2024
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
Zhifeng Kong
Arushi Goel
Rohan Badlani
Wei Ping
Rafael Valle
Bryan Catanzaro
AuLLM
LM&MA
MLLM
59
73
0
02 Feb 2024
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models
Zhen-yu Wang
Hongcai Zhang
DiffM
32
14
0
24 Apr 2023
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao
Keshigeyan Chandrasegaran
Milad Abdollahzadeh
Ngai-man Cheung
63
43
0
29 Oct 2022
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
158
339
0
09 Mar 2020
1