december, 2017

12dec9:00 am5:00 pmPredictive Analytics in the Energy sector (DSB'17) Event Organized By: DigitYser Event Type :Bootcamp

Event Details

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.

TARGET
Data Science professionals.

PREREQUISITES
-Knowledge of Python.
-Installation of Python 3 and Jupyter notebook (http://jupyter.org/install.html)

SESSION OUTLINE
-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.

PRACTICALITIES
-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 (training@di-academy.com).

// 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 training@di-academy.com asap//

Time

(Tuesday) 9:00 am - 5:00 pm

Location

DigitYser

Boulevard d'Anvers 40

Organizer

DigitYser

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