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Jul 24, 2022 - Jupyter Notebook
#
ucm-model
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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.
timeseries time-series tsa arima time-series-analysis sarima sarima-model dynamic-factor-models ucm-model
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Dec 12, 2022 - Jupyter Notebook
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.
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Mar 1, 2023 - R
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.
time-series lstm forecasting power-consumption streaming-data time-series-analysis arima-model time-series-forecasting ml-model ucm-model tetuan-city
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Nov 7, 2023
High-frequency time series forecast of electricity consumptions using ARIMA, UCM and ML techniques
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Feb 28, 2023
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