Respected Professor,

I hope this message finds you in good health and high spirits. I, Kumail, a member of the Bioinformatic Lab within the Integrated Energy Department, am writing to request access to the Energy AI Department's server for a significant project involving high-level, advanced, and complex model training for energy forecasting, including the following:

Ø  TabModel (modified from fastai's TabularModel)

Ø  OmniScale - Omni-Scale 1D-CNN (Tang, 2020)

Ø  TST - Time Series Transformer (Zerveas, 2020)

Ø  TabTransformer (Huang, 2020)

Ø  TSiT - Adapted from ViT (Dosovitskiy, 2020)

Ø  MiniRocket (Dempster, 2021)

Ø  XCM - An Explainable Convolutional Neural Network (Fauvel, 2021)

Ø  gMLP - Gated Multilayer Perceptron (Liu, 2021)

Ø  TSPerceiver - Adapted from Perceiver IO (Jaegle, 2021)

Ø  GatedTabTransformer (Cholakov, 2022)

Ø  TSSequencerPlus - Adapted from Sequencer (Tatsunami, 2022)

Ø  PatchTST (Nie, 2022)

User Details

Ø  Name: Syed Kumail

Ø  Affiliation: Bioinformatic Lab (Integrated Energy AI Department)

Ø  Advisor: Respected Professor Kil To Chong

Ø  Cell Phone Number: 010-2131-5512

Ø  Usage Time: 9:00 am to 18:00 pm

These models are essential for our research, and we believe that the server's computational resources will greatly enhance our ability to advance energy AI research. Your approval and support are highly valued.

Sincerely,

Syed Kumail Hussain Naqvi

Integrated Energy-AI

Jeonbuk National University

202159041