Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

Photovoltaic power prediction based on weather data for my bachelor thesis

不同时间序列预测方法对上海旅游规模进行预测

A hybrid forecasting model combining LSTM for sequence prediction and ARIMA for error correction. This repo demonstrates improved accuracy in financial trend prediction, showcasing training processes, error analysis, and performance metrics.

Time series forecasting models for web traffic forecasting

A Personal Project that applies an advanced statistical technique to predict future electricity prices for the British Market

Repositório com os códigos para a monitoria da disciplina de séries temporais da pós-graduação em inteligência computacional do centro de informática (CIn) - UFPE.

Forecast Exchange rates between 2 given currencies using data from the past 2 months

A web-based tool that predicts crimes based on heterogeneous spatial patterns

LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.

Auto tunned hybrid model for time series prediction using ARIMA and ANN

When is an edge not an edge? - Surayez Rahman

This work related to using EEG waves of drivers to detect if they are drowsy through ARIMA model, and if they are, the system attempts to alert the driver through a series of event, in addition to taking control over the vehicle to auto-park it to avoid accidents.

Predict price reversion signals for mean reverting stocks on NSE

A COVID-19 dashboard which forecasts cases and deaths for each state in the US. The dashboard also provides with a county-wise map for each state.

The nutrition project used ARIMA and Auto Regression model with python to predict the client's diet pattern and found positive and negative correlations between intake variables which have less than 0.05 p-value.

A novel approach to time-series stock forecasting. Combines Bayesian modeling and statistics with classical seasonal ARIMA models.

Different models based on different techinques were built to check the forecasting accuracy on the training set

A repository for forecasting continuous scale features using ARIMAX models, including model training and evaluation scripts.

Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.