Join us in one of our 24 Data Science Bootcamp's sessions! (http://di-academy.com/dsb_details/) In this session, Loïc Quertenmont and Sebastien Mouthuy, from N-SIDE, will introduce the challenges in the energy sector and
Join us in one of our 24 Data Science Bootcamp’s sessions! (http://di-academy.com/dsb_details/)
In this session, Loïc Quertenmont and Sebastien Mouthuy, from N-SIDE, will introduce the challenges in the energy sector and the importance of energy forecasting. In a hands-on way, they will show the participants how to use Data Science and Machine Learning to forecast energy related variables.
Data Science professionals.
-Knowledge of Python.
-Installation of Python 3 and Jupyter notebook (http://jupyter.org/install.html)
-Energy sector challenges in particular the forecasting of the renewable energy production.
-Data Science stack in Python (with Jupyter, Numpy, Pandas, Scikit-learn).
-Forecasting / Machine Learning applied to time series data in the energy sector (ARIMA, deep learning (MLP and RNN), ensemble methods (AdaBoost and Random Forest)).
-Contest: Forecasting Solar panels/Wind turbines production in Belgium.
-Lunch is included in your ticket.
-Doors are open at 8.30 am.
-Accesibility: public transport (stop Yser / Ijzer ). We do not have parking but normally there are some parking slots at Rue de Commerçants.
-Training partners and can contact us via e-mail to request their discount code (firstname.lastname@example.org).
// If you want to avoid the EventBrite fee and pay directly to us, drop a message confirming your attendance and providing your full details (company name, address, TVA # and # of seats) to email@example.com asap//
(Tuesday) 9:00 am - 5:00 pm
Boulevard d'Anvers 40