Data and analytics

DiUS announces general release of Powersensor

DiUS announces general release of Powersensor – a self-installed IoT device delivering real-time generation and consumption energy data to consumers

Time Series Forecasting with FBProphet

Traditional approaches like SARIMA models often require manual data pre-processing steps (e.g. differencing to make the data stationary). In addition, these models are not allowed to add additional domain knowledge to improve precision. For solving these problems, Facebook researchers recently released FBProphet.

Using data to drive improvements through experimentation

Much of the world’s data is generated online, which has the advantage of being easy to collect. However, before data can be used, it needs to be turned into information.

Using Statsmodels GLMs to model Beverage Consumption

This article shows how one feature of Statsmodels, namely Generalized Linear Models (GLM), can be used to build useful models for understanding count data.