Activities

The 'Activities' dataset comprises ten synthetic time series that simulate weekly activities characterized by five days of high activity and two days of low activity, and it is used to evaluate the performance of LSTM and GRU networks in time series forecasting.

Papers using Activities (1)

An Open-Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting2025 · 12 cites