3 papers
cs.LG2024
FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model
Chu Li, Pingjia Xiao, Qiping Yuan
This study presents a novel time series prediction model, FPN-fusion, designed with linear computational complexity, demonstrating superior predictive performance compared to DLine…
physics.plasm-ph2024
Correlation of the L-mode density limit with edge collisionality
Andrew Maris, Cristina Rea, Alessandro Pau +10
The "density limit" is one of the fundamental bounds on tokamak operating space, and is commonly estimated via the empirical Greenwald scaling. This limit has garnered renewed inte…
cs.LG2024
UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model
Li Chu, Xiao Bingjia, Yuan Qiping
Recently, Transformer-base models have made significant progress in the field of time series prediction which have achieved good results and become baseline models beyond Dlinear.…