ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.01222
  4. Cited By
A novel automatic wind power prediction framework based on multi-time
  scale and temporal attention mechanisms

A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms

2 February 2023
Meiyu Jiang
Jun Shen
Xuetao Jiang
Lihui Luo
R. Zhou
Qingguo Zhou
ArXivPDFHTML

Papers citing "A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms"

2 / 2 papers shown
Title
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
102
1,443
0
19 Dec 2019
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
266
5,518
0
23 Nov 2015
1