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An Efficient and Explainable Transformer-Based Few-Shot Learning for
  Modeling Electricity Consumption Profiles Across Thousands of Domains

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
ArXivPDFHTML

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
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
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
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
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
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
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