DiUS announces general release of Powersensor – a self-installed IoT device delivering real-time generation and consumption energy data to consumers
Data and analytics
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.
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.
This article shows how one feature of Statsmodels, namely Generalized Linear Models (GLM), can be used to build useful models for understanding count data.