Fast Fourier SolutionsVideo
Team name / Company name: Init to win it
Team leader: Jakub Jon
Challenge: no. 2: Advancing Energy Situational Awareness
Problem: Create alogirthm for sampling sensor data, maximising "sensed importance" while minimising sample count. Create a webpage to show data to customers.
Solution: Using Fourier transform and signal analysis, we created a relatively simple and scalable algorithm for sample time extrapolation.
Impact: Provides users with relevant data leading to energy and money savings while enabling them to use renewable sources and get the most out of every joule produced.
Feasibility: The whole project is easilly scalable with only a little data required from the sensors. Unlike machine learning it requires no sofisticated infrastructure and can be implemented for low cost.
What you built: Webpage and sampling algorithm https://inittowinit.azurewebsites.net https://github.com/ShadowTrolll/GH_InIt2WinIt https://github.com/ShadowTrolll/GH_AzurePage
What you had before: Nothing, we are students
What comes next: Complete prediction algorithm and integrate real time data with webapage