giocoal/analysis-and-forecasting-tetouan-city-power-consumption-ARIMA-UCM-GRU

Tetuan City Electricity Consumption High-Frequency Time-Series Forecasting Using Arima, UCM, Machine Learning (Random Forest and k-NN), and Deep Learning (GRU Recurrent Neural Network) Models.

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berasaikat/time-series-analysis-of-tcs-stock-prices-2004-2021

I have performed a time series analysis of the stock prices of Tata Consultancy Services from 2002 to 2021. I have started by visualising the data. And then I fitted models like an autoregressive integrated moving average (ARIMA) model, Vector autoregression (VAR), SARIMA (seasonal ARIMA) model, UCM, and Dynamic Factor models.

Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

gianscuri/Restaurant_Revenue_Loss_COVID_Analysis

Time Series Analysis and Forecasting (using ARIMA, UCM and Random Forest models) of a restaurant's revenue during the first lockdown of the COVID-19 pandemic in Italy, to estimate the loss incurred.

Language: R - Size: 39.3 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

gianscuri/Electricity_Consumption_Forecasting_ARIMA-UCM-ML

High-frequency time series forecast of electricity consumptions using ARIMA, UCM and ML techniques

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dvd125/Times-Series-Analysis-and-Streaming-Data

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0