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Week 16.5: Challenge 2 Final Solution
The final solution - M[AI]nager - consists in a project that uses both machine learning and optimization algorithms to manage the energy...
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Week 16: Final steps
Since this week was the final development week, there was no new topic to be teached the classes served mostly as place to clarify doubts...
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Week 15: Perfecting the algorithms
In this week we had a meeting with our inspirator, Professor Zita Vale to present the work developed until the moment and make some...
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Week 14: Particle Swarm Optimization
Initially, this week we started studying and structuring the optimization problem we decided to solve regarding the energy community....
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Week 13: Perfecting the forecast results
This week signalized the restart of our classes after the Christmas holidays however in an atypical way, as all classes had to be...
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Week 12: Household forecast models
Forecasting the energy consumption of a single household is a difficult subject to tackle, since it is highly vulnerable even to slight...
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Week 11: Working on the data
For this week, the team worked on multiple areas. Articles about consumption optimization were briefly examined since optimization...
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Week 10: The Dataset
In this week, the team selected the dataset to be used, that would fit well in the the problem presented in the first week of this...
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Week 9: A new challenge
In this week the team started to think about ideas for the new challenge which must solve a problem involving machine learning, and...
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