Short Term Prediction

Short-term prediction focuses on accurately forecasting events or values within a limited timeframe, ranging from seconds to hours, across diverse domains. Current research emphasizes the application of advanced machine learning models, including transformers, recurrent neural networks (like LSTMs and GRUs), and ensemble methods, often incorporating domain-specific features to improve prediction accuracy. These advancements are crucial for optimizing resource allocation in areas such as energy management, transportation, finance, and environmental monitoring, enabling more efficient and proactive decision-making. The development of robust and efficient short-term prediction models is driving significant progress in various fields by improving forecasting accuracy and reducing uncertainty.

Papers

June 4, 2024

Temporal distribution of clusters of investors and their application in prediction with expert advice
Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay
Human Prediction Different Cluster Financial Trading Short Term Prediction Post Trade Allocation Temporal Distribution

February 2, 2024

Fractal Patterns May Illuminate the Success of Next-Token Prediction
Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
Next Token Prediction Financial Success Fractal Structure Fractal Dimension Short Term Prediction Justifiable Granularity

December 7, 2023

Short-term prediction of construction waste transport activities using AI-Truck
Meng Xu, Ke Han
Tractor Trailer Vehicle Consistent Aggregation Short Term Prediction Autonomous Truck Construction Waste

October 30, 2023

AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting
Yang Lin
Adversarial Training Autoregressive Model Non Autoregressive Long Term Prediction Multi Horizon Short Term Prediction

February 24, 2023

TrafFormer: A Transformer Model for Predicting Long-term Traffic
David Alexander Tedjopurnomo, Farhana M. Choudhury, A. K. Qin
Traffic Prediction Hybrid Neural Network Short Term Prediction Recurrent Structure

February 16, 2023

Robust Human Motion Forecasting using Transformer-based Model
Esteve Valls Mascaro, Shuo Ma, Hyemin Ahn, Dongheui Lee
Computer Vision Transformer Based Model Human Motion Human Motion Forecasting Short Term Prediction Strip Transformer

February 1, 2023

Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
Sean Nassimiha, Peter Dudfield, Jack Kelly, Marc Peter Deisenroth, So Takao
Gaussian Process Online Filtering Solar Power Generation Data Short Term Prediction Gaussian Process State Space Model GP Regression GP Inference

December 16, 2022

Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models
Saad Emshagin, Wayes Koroni Halim, Rasha Kashef
Long Short Term Memory Energy Consumption Gated Recurrent Unit Prediction Method Short Term Prediction Electricity Consumption GRU Net

December 7, 2022

Short term prediction of demand for ride hailing services: A deep learning approach
Long Chen, Piyushimita, Thakuriah, Konstantinos Ampountolas
Convolutional Neural Network Deep Learning Approach Service Provider Video Game Demand Short Term Prediction Ride Hailing Service Ride Hailing Data Passenger Request Prediction

November 11, 2022

FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis
Shayan Halder
Deep Learning Long Short Term Memory Stock Price Prediction Short Term Prediction

October 11, 2022

Short-term prediction of stream turbidity using surrogate data and a meta-model approach
Bhargav Rele, Caleb Hogan, Sevvandi Kandanaarachchi, Catherine Leigh
Relevant Covariates Meta Model Short Term Prediction Turbidity Sensor

June 15, 2022

Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments
Christos Tzagkarakis, Pavlos Charalampidis, Stylianos Roubakis, Alexandros Fragkiadakis, Sotiris Ioannidis
Internet of Thing State of the Art Forecasting Data Stream Forecasting Performance Internet of Thing Environment Short Term Forecasting Short Term Prediction

April 20, 2022

Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection
Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski
Constructive Approach Numerical Weather Prediction Wind Power Variable Selection Forecast Utterance Wind Speed Data Driven Nowcasting Short Term Prediction

January 26, 2022

Machine Learning for Stock Prediction Based on Fundamental Analysis
Yuxuan Huang, Luiz Fernando Capretz, Danny Ho
Machine Learning Stock Price Prediction Fuzzy Inference Short Term Prediction Adaptive Neuro Fuzzy Inference System

December 23, 2021

Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks
Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, Fenglin Li
Machine Learning Flow Based Computer Network Physic Constrained Temporal Link Prediction Short Term Prediction

Short Term Prediction

Papers

Temporal distribution of clusters of investors and their application in prediction with expert advice

Fractal Patterns May Illuminate the Success of Next-Token Prediction

Short-term prediction of construction waste transport activities using AI-Truck

AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting

TrafFormer: A Transformer Model for Predicting Long-term Traffic

Robust Human Motion Forecasting using Transformer-based Model

Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes

Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models

Short term prediction of demand for ride hailing services: A deep learning approach

FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis

Short-term prediction of stream turbidity using surrogate data and a meta-model approach

Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments

Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection

Machine Learning for Stock Prediction Based on Fundamental Analysis

Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks