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.

Predictions of energy production<br /> from RES
Predictions of energy production
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.  

Energy storage management algorithms

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. 

Transmission System Operator<br /> data analytics for the trading company
Transmission System Operator
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.  

Energy Management System<br /> in the Company
Energy Management System
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.  

We are a software house supporting the green energy transition.

Co wyróżnia Quickersim na rynku i jak może zapobiec powyższym wyzwaniom?
IT technologies

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.  

Algorithms: Python, MATLAB, Machine Learning

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

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

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?