The Hark Blog

Timeseries Stationarity

Timeseries Stationarity

This blog post discusses the importance of stationarity in timeseries data when performing analysis or generating forecasts. Non-stationary data can pose challenges for accurate forecasting, but transformations such as differencing, Box-Cox, and Yeo-Johnson can help make data stationary. These techniques can help with effective planning and implementation of energy management policies.

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Timeseries Stationarity

Timeseries Stationarity

This blog post discusses the importance of stationarity in timeseries data when performing analysis or generating forecasts. Non-stationary data can pose challenges for accurate forecasting, but transformations such as differencing, Box-Cox, and Yeo-Johnson can help make data stationary. These techniques can help with effective planning and implementation of energy management policies.

Read More
the collaborative sustainability agenda

The Collaborative Sustainability Agenda

Today’s global climate temperature is accelerating at unprecedented rates. If we continue this current trajectory, global temperatures could rise by more than 1.5 °C, causing devastating effects.

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