Electricity Consumption Transparency Engine

Build a universal analytics engine that helps energy-intensive companies understand their historical electricity consumption, identify patterns, and forecast future demand across different locations.

Challenge Owner Detecon

Postdate 30.06.2026

Description

Energy-intensive companies generate large volumes of electricity-related data across sites, machines, buildings, and organizational units. However, this data is often fragmented, underused, or difficult to translate into actionable insights. The goal of this challenge is to create a generic analytics engine that turns raw electricity consumption data into meaningful transparency. 

Participants will build a solution that uses: 

  • quarter-hourly electricity consumption data per location 
  • master data for each consumption location, such as technical categories, organizational information, site details, or asset types.

Based on this input, the solution should automatically generate an interactive analytics frontend that enables users to explore historical electricity consumption on an aggregated level and understand key consumption patterns. 

In addition, the engine should provide electricity consumption forecasts on a daily and monthly level for each location, based on historical consumption behaviour. Beside the historical consumption data additional data should be integrated to increase forecast quality (e.g. weather data, internal indicators, productivity, holiday times, etc.).

Expected Outcome 
The ambition is not to build a one-off dashboard, but a reusable approach that can work across different energy-intensive companies and consumption structures. 

This working prototype should cover the following functions:

  • Process quarter-hourly electricity consumption data
  • Combine consumption data with master data per location and aggregate it
  • Visualize historical consumption in an interactive frontend
  • Highlight relevant patterns, trends, and anomalies
  • Forecast future electricity consumption on a daily and monthly level 
  • Provide insights per location and, ideally, across aggregated organizational or technical categories

Impact

Electricity consumption transparency is the foundation for better energy management. Companies can only reduce costs, improve efficiency, and make more sustainable decisions if they understand where, when, and how electricity is consumed. Reliable forecasts also help companies plan ahead, detect unusual patterns, and prepare for future demand. This challenge combines data engineering, forecasting, and visualization to create a practical tool with real business and sustainability impact.

Data Set

Example datasets representing electricity consumption data from energy-intensive companies will be provided. These datasets may include quarter-hourly consumption values and related master data for different consumption locations.

Needed Skills

This challenge is ideal for participants with skills in:

  • Data Engineering: to structure, process, and generalize the input data
  • Data Science: to build forecasting models and identify consumption patterns
  • Data Visualization / Frontend Development: to create an intuitive and interactive user experience
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