Inspiration
Predicting Power-Consumption and Controling Power Consumtion to optimize usage of renewable Energy and Reduce Cost in Science
What it does
Using existing Big Data to Predict Power COnsumption and Control Power intensive Processes tu match their profile to Power Production by Wind and Solar
How I built it
Analyzing Data provided by LRZ (Leibnitz Rechen Zentrum) to train a Model using Tensor Flow and Python
Challenges I ran into
The immensive amount of Data to be screend and analyzed to shape a Neural Network
Accomplishments that I'm proud of
I got a Prediction accuracy in 7 Dimensions of up to 43% per Node
What I learned
How to use N to analyze complex data....and that it's not as easy as it sounds
What's next for Neural Network Super Computing Prediction
Refinement of the Model and improving the accuracy
Built With
- flow
- pytgon
- tensor
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