Company Name:

OmegaLambdaTec GmbH

Incubation Round:

Explore, Experiment, Evolve

Application Track:

Track 2

Proposed by:

SMAT

Data Provider:

SMAT

Challenge Name:

ENERGY COST ASSESSMENT AND FORECASTING

Product Description

 OmegaLambdaTec’s Energy Cost Analyser, Forecaster and Simulator (ecostar3) is a web application designed to help utility companies tracking current and past energy costs and estimating their budget needs for the following months. It consists of three main modules:
1) An accounting tool, which will enable monitoring of the energy bills by automatically estimating the costs of used energy. The main purpose of this module is to allow users to verify that the issued bills match the actual cost of the used energy.
2) A modelling/forecasting tool, which will allow to estimate the energy consumption and price with different time horizons (e.g. 1 day, 1 week, 1 month, 3 month, etc.), and including carefully-estimated uncertainties. By combining estimations of future consumption and price, the expected costs for the following months can be determined.
3) A scenario-simulator tool, based on the results of the modelling/forecasting tool. This will provide an estimate of the costs in the following months under different conditions. This can be used, for example, to define the budget that might be necessary to allocate in a high-risk scenario.

Usage of Standards for data interoperability:

Standards for data interoperability in the energy sector are currently a hot topic for European agencies, but no final decision has been taken yet. Our solution is based on algorithms that are agnostic with respect to the data format. The data will be provided by the partner utilities through secured exchange platform, and therefore our solution will conform to whatever future defined standard for data interoperability in the energy sector.

 

Reach Timeline

*Expose phase is open to all Experiment phase teams

Location:

Garching, Germany

Sector:

Energy

Website:

https://omegalambdatec.com

Company maturity:

Live funding and product-market fit

Investment level:

Seed

Funding raised:

> EUR 1,000,000

Collaboration opportunity:

Product development, Product testing and revision, Investment

Company Description

OmegaLambdaTec (OLT) is developing pioneering Smart Data, Physical Analytics and AI solutions in the fields of data-driven forecasting, anomaly detection, simulation-based optimization and Digital Twin Simulations for network operators, utilities, industry partners and Smart Cities. With a unique and leading Data Science team of top research-experienced astrophysicists OLT finds and designs the best solutions for new AI data challenges, develops prototypes and demonstrators of new applications, provides automatized solutions for daily business operations and offers scalable AI-Engines as Algorithm-as-a-Service (AaaS) products. 

OLT was founded in 2015 by Dr. Rene Fassbender as one of the first dedicated Data Science & AI companies in Germany. OLT has a steadily growing base of paying customers since 2016, secured 1.4 Million Euros of external funding in years 2018-2021, and is profitable since 2022. OLT owns the full IP for all of the >150 Smart Data Solutions that were developed in the past 8 years. Since last year, OLT is a leading player in the emerging Algoritms-as-a-Service (AaaS) market and business model.

Dr. Rene Fassbender - CEO and Founder

PhD in Astrophysics from the Ludwig-Maximilians-Universität München (LMU).

Dr. Cristiano De Boni - Senior Data Scientist & Project Manager

PhD in Astronomy form the University of Bologna.

Dr. Andrea Turcati - Data Scientist

PhD in Physics from the Technical University of Munich (TUM).

Dr. Italo Balestra - Senior Data Scientist

PhD in Astrophysics from the Technical University of Munich (TUM).