Our projects
We act as an engineering and energy software house. We create applications tailored to the specific needs of the client. From our building blocks and algorithms. As a result, we do not start a project from scratch, but deliver a solution quickly and within a reasonable budget.
from RES
We have built algorithms with which we calibrate forecasts from weather services against historical data on sunshine, windiness and RES energy production at a given time in a given location. This improves the accuracy of our predictions.
We have developed algorithms to determine the optimal strategy for energy storage. We make a prediction of RES production, take prices from the energy market, determine the financially best strategy and send it to almost any energy storage.
data analytics for the trading company
We analyze Transmission System Operator system data. Based on the coordination plans, we make more accurate production predictions for coal and RES units than Transmission System Operator. This allows trading companies to better predict the price of energy for bidding on the DAM.
in the Company
We install energy monitors and provide data on the real electricity consumption of each piece of equipment in a manufacturing company. This allows us to identify major losses, consumption differences, help save up to 10% of energy or provide data to make prices more realistic.
QuickerSim is a team of a dozen engineers. Our team includes energy scientists, automation specialists, mathematicians and programmers. A large part of the team comes from the Faculty of Power and Aeronautical Engineering at the Warsaw University of Technology. Since 2018, we have been developing dedicated software for Corab almost continuously. We have a full set of IT competences, but that does not set us apart in the market. What differentiates us is our industry knowledge in energy, engineering and technical knowledge in Renewable Energy Sources, expert knowledge of the energy market and energy storage. When we build software, you don't need to explain us the industry background - we have a broad experience.
We are a software house supporting the green energy transition.
IT technologies
We develop both hard algorithms and computational engineering and energy software, as well as encapsulating this in a layer of graphical interface and cloud technologies.
Algorytmy: Python, MATLAB, Machine Learning
We use Python and MATLAB to build numerical algorithms. We build neural network and machine learning algorithms using scikit-learn and skforecast libraries.
Dashboards and graphical interfaces
We build simple dashboards using Power BI and Microsoft Fabric. We build complex systems using technologies such as Javascript, Typescript, Python, using the popular libraries Django, Electron and React.
Cloud
Depending on the requirements, we host our solutions on the client's computers, our own servers or make the developed applications available via the Google Computing Platform, the Microsoft Azure cloud or Microsoft Fabric solutions.
How do we deliver the solution?
We start by talking about the content needs.
Then we create a solution, using the algorithms we already have developed and possibly adding the missing individual parts.
The standard when working with us is:
- regular weekly status meetings (we discuss the progress of the work, make further decisions together),
- maintaining a certain flexibility in making changes, slight adjustments to the scope as the project progresses.
Delivering the solution on an ongoing basis (in an agile methodology) rather than all at the end of the project.
We deliver projects ranging from very small scripts and tools (1-2 weeks of implementation) through medium and large applications (3-10 person months of work) to several years of strategic cooperation on very complex systems.
Bartosz Górecki, PhD – CEO/ Founder of QuickerSim
Mob: +48 503 444 886
E-mail: b(dot)gorecki(at)quickersim.com