Superior Forecasting

Superior forecasting aims to improve the accuracy and reliability of predictions across diverse domains, from infectious disease outbreaks and financial markets to weather patterns and supply chain logistics. Current research emphasizes the application of advanced machine learning models, including neural networks (especially recurrent and transformer architectures), neural ordinary differential equations, and diffusion models, often incorporating external data sources and sophisticated feature selection techniques to enhance predictive power. These advancements have significant implications for resource allocation, risk management, and decision-making in various sectors, improving efficiency and potentially mitigating negative impacts of unforeseen events.

Papers

November 7, 2024

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention
Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Chengyi Yang, Yanlong Wen, Xiaojie Yuan
Deep Convolutional Neural Network Human Attention Group Convolution Large Kernel Convolution Superior Forecasting Efficient Time Series Forecasting

October 22, 2024

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus, Felix Divo, Devendra Singh Dhami, Kristian Kersting
Time Series Forecasting Multivariate Time Series Forecasting Personal Memory Superior Forecasting Robust Forecasting Scalar Input

October 14, 2024

Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery
Stefan Maria Ailuro, Anna Nedorubova, Timofey Grigoryev, Evgeny Burnaev, Vladimir Vanovskiy
Data Driven Synthetic Aperture Radar Sea Ice Superior Forecasting

September 2, 2024

Forecasting infectious disease prevalence with associated uncertainty using neural networks
Michael Morris
Neural Network High Uncertainty Anticipation Uncertainty Estimation Epidemic Forecasting Forecasting Task Prevalence Threshold Superior Forecasting Influenza Virus

May 18, 2024

Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
José Leites, Vitor Cerqueira, Carlos Soares
Deep Learning Empirical Study Time Series Forecasting Univariate Time Series Forecasting Superior Forecasting Lag Selection

May 15, 2024

Optimizing Sales Forecasts through Automated Integration of Market Indicators
Lina Döring, Felix Grumbach, Pascal Reusch
Data Driven Time Series Forecasting Forecasting Model Demand Prediction Seamless Integration Superior Forecasting Sale Forecast

February 5, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding
Diffusion Transformer Data Scarcity Audio Sample Effective Augmentation Superior Forecasting

January 6, 2024

Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM
Soheila Khajoui, Saeid Dehyadegari, Sayyed Abdolmajid Jalaee
Time Series LSTM Network Country Recognition Forecasting Method Superior Forecasting Neural Network Algorithm Custom Fraud

October 25, 2023

FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model
Xiaohui Zhong, Lei Chen, Jun Liu, Chensen Lin, Yuan Qi, Hao Li
Diffusion Model High Resolution Medium Range Wind Speed Superior Forecasting Extreme Precipitation FuXi Extreme

September 23, 2023

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang
Time Series Forecasting Neural Ordinary Differential Equation Superior Forecasting Cumulative Water Heater

June 5, 2023

SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting
Lei Chen, Fei Du, Yuan Hu, Fan Wang, Zhibin Wang
Diffusion Model High Resolution Medium Range Superior Forecasting Scale Prediction Data Driven Modelling

April 21, 2023

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Deep Learning Model Narrative Review Recent Advance Deep Learning Based Financial Time Series Superior Forecasting

April 19, 2023

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
Global Evaluation Region Specific Probabilistic Forecast Probabilistic Time Series Forecasting Forecast Distribution Superior Forecasting Forecast Error

March 13, 2023

Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
Lena Schmid, Moritz Roidl, Markus Pauly
Machine Learning Time Series Time Series Forecasting Simulation Study Multi Step Forecast Utterance Logistics System Forecasting Method Superior Forecasting

March 8, 2023

Forecasting the movements of Bitcoin prices: an application of machine learning algorithms
Hakan Pabuccu, Serdar Ongan, Ayse Ongan
Application Proficiency Random Forest Machine Learning Algorithm Forecasting Performance Cryptocurrency Price Movement Related Information Superior Forecasting Different Machine Learning

October 17, 2022

Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting
Hu Yang, Yi Huang, Haijun Wang, Yu Chen
Deep Learning Model Spatio Temporal Temporal Dependency Financial Time Series Superior Forecasting RNN Layer

September 22, 2022

Is your forecaster smarter than an energy engineer: a deep dive into electricity price forecasting
Maria Margarida Mascarenhas, Hussain Kazmi
Forecast Utterance Electricity Market Deep Dive Energy System Superior Forecasting Electricity Price Forecasting Novel Forecasting

January 23, 2022

Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19
Effat Ara Easmin Lucky, Md. Mahadi Hasan Sany, Mumenunnesa Keya, Md. Moshiur Rahaman, Umme Habiba Happy, Sharun Akter Khushbu, Md. Arid Hasan
Deep Learning Covid 19 Simulation Study Superior Forecasting World Trade Commodity Trade Export Import Exchange Rate Convergence

Superior Forecasting

Papers

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories

Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery

Forecasting infectious disease prevalence with associated uncertainty using neural networks

Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study

Optimizing Sales Forecasts through Automated Integration of Market Indicators

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation

Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM

FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data

SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts

Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study

Forecasting the movements of Bitcoin prices: an application of machine learning algorithms

Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting

Is your forecaster smarter than an energy engineer: a deep dive into electricity price forecasting

Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19