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Neural basis expansion analysis with exogenous variables: Forecasting
  electricity prices with NBEATSx

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
ArXivPDFHTML

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
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?
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
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
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
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
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
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
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
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
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
1