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2104.05522
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Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
12 April 2021
Kin G. Olivares
Cristian Challu
Grzegorz Marcjasz
R. Weron
A. Dubrawski
AI4TS
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Papers citing
"Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx"
10 / 10 papers shown
Title
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
Y. Wang
Y. Liu
Xiaoyi Duan
Kai Wang
AI4TS
29
0
0
07 May 2025
Do global forecasting models require frequent retraining?
Marco Zanotti
39
0
0
01 May 2025
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices
A. Brusaferri
A. Ballarino
Luigi Grossi
F. Laurini
AI4TS
24
3
0
03 Apr 2024
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
Shengsheng Lin
Weiwei Lin
Wentai Wu
Feiyu Zhao
Ruichao Mo
Haotong Zhang
AI4TS
29
51
0
22 Aug 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
Benedikt Heidrich
Kaleb Phipps
Oliver Neumann
Marian Turowski
Ralf Mikut
V. Hagenmeyer
AI4TS
BDL
16
2
0
06 Feb 2023
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting
Yiqi Sun
Zheng Shi
Jianshen Zhang
Yongzhi Qi
Hao Hu
Zuo-jun Shen
AI4TS
16
0
0
13 Dec 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data
Cristian Challu
Peihong Jiang
Y. Wu
Laurent Callot
AI4TS
19
1
0
22 Oct 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
Dazhao Du
Bing-Huang Su
Zhewei Wei
AI4TS
13
43
0
23 Feb 2022
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Kin G. Olivares
N. Meetei
Ruijun Ma
Rohan Reddy
Mengfei Cao
Lee Dicker
AI4TS
30
24
0
25 Oct 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,889
0
15 Sep 2016
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