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Package created as part of the "Advanced Time Series Prediction" Course at Opencampus, Kiel. Package contains helperfunctions for Solar Power Forecasts.

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AnnaValentinaHirsch/time-series-toolkit

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Time Series Forecasting Toolkit

Timeseriesfcst is a Python package developed as a group project at OpenCampus Kiel. It provides a set of tools for preprocessing, feature engineering, and analysing time series data, as well as implementing LSTM models for time series forecasting.

Features

  • Time series preprocessing
  • Feature engineering for time series data
  • Time series decomposition and stationarity checks
  • LSTM model creation and training for time series forecasting
  • Model evaluation utilities

Installation

You can install the Time Series Toolkit using pip:

pip install timeseriesfcst

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Package created as part of the "Advanced Time Series Prediction" Course at Opencampus, Kiel. Package contains helperfunctions for Solar Power Forecasts.

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