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Abstract Sphere

BASELINE.ENERGY APP

Calculating the future using advanced machine learning and AI

Our predictive analytic platform generates high-quality forecasts for an unlimited number of measuring points – individually or collectively for groups of measuring points. Baseline Energy is easy to use with high data security and safeguards privacy by use of encrypted data.​​

We help you set up a safe data transfer system to automatically start analysing the information and providing the predictions, making it a very easy process. We support the API services as well, which makes for a simple and smooth integration with other applications.

Benefits for our Customers

Examples of how to use our forecasts to create added value

Electricity Suppliers

Electricity load forecasts are an important cornerstone for building new and smart energy services and give the customers new insights to their energy usage and costs. Modern electricity suppliers not only supply the power, but also provide smart energy services. Some of the examples of how to use our forecasts to create added value include displaying the electricity load forecasts in the customer app, notifying the customers of expected high electricity consumption or costs, making electricity load forecasts (baseline) for biffing as an aggregator in flexibility markets, or making forecasts in connection with pilot projects and tests of new technology

Grid Companies - DSOs

Electricity load forecasts are a necessary part of future Smart Grids for Distribution System Operators (DSOs).‍ High quality load forecasts can provide information crucial for stable operation and cost savings. You are at the forefront and can manage the electricity grid optimally based on expected loads. Forecasts are not only a key to requesting deliveries of flexibility in various flexibility markets, but also keep your customers informed about expected peak loads and costs. The system can also be used to create forecasts in connection with pilot projects and testing of new Smart Grid technology.

District Heating and Cooling Companies

Optimization of heat production from district heating systems is demanding due to continuous fluctuations in weather (temperatures, wind, sun) and prices of input factors such as electricity and gas. High quality load forecasts (heating, cooling, electricity etc.) can provide important information for stable operation and cost savings. You are at the forefront and can control energy production optimally based on expected energy loads and prices in the coming hours and days. You can also display the load forecasts in the customer app, create electricity load forecasts (baseline) to offer flexibility in flexibility markets, or make forecasts in connection with pilot projects and tests of new technologies

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