Platform feature: Low pass filter

The IoT and analytics platform hetida platform offers a wide range of standard workflows for efficient data pre-processing. One of these is the low pass filter – a proven method for smoothing out high-frequency fluctuations in time series while preserving the low-frequency trend in the data. In this article, we show how the filter works and how it can be specifically applied to water level data in water management.

Energy forecasts with hetida designer

Using hetida designer, the interactive Python workflow editor of the hetida platform, we are developing a model for forecasting the electricity consumption of an industrial company. In addition to the practical question, the main focus is on the possible applications and operation of hetida designer.

Intelligent energy management with hetida platform

In May 2025, a pioneering energy project was officially presented in Bremen’s Überseeinsel district. The digital centerpiece is the IoT and analytics solution hetida platform, which creates a 72-hour schedule for the four large river heat pumps.

Univariate data plausibility checks in water management

The workflows of the hetida platform enable univariate data plausibility checks to quickly identify incorrect measured values. We show an example from the water industry.

Introduction, status and roadmap of the hetida platform

The hetida platform has been in development since September 2024. We take a look at the next steps.