Time-Series Forecast in the Energy Sector with Automated Machine Learning
Channel: SwissAI
Date: 2018-11-07

Time-Series Forecast in the Energy Sector with Automated Machine Learning
Stefano Casasso, Data Scientist at Predictive Layer
SwissAI Machine Learning Meetup 2018.10.15

1. What is Time Series Analysis?

2. What are the common mistakes in time series analysis?

3. How to treat features in time series analysis?

4. Application example from the energy sector

Abstract: Time series forecasting using machine learning (ML) presents additional challenges compared to other "static" ML tasks. From data cleaning to feature engineering, from model building to model validation: in each of these steps the time component has to be handled with care in order to avoid overfitting and bias. In this presentation, all these tasks are discussed using "real world" examples taken from the energy sector, namely electricity consumption/production. Predictive Layer (PL) is a company based in Rolle (Switzerland) which has built its business model around times series forecasting. PL is currently active in the sector of energy, finance, retail, transport and supply chain optimization. http://www.predictivelayer.com

Bio: Stefano Casasso studied experimental particle physics in Turin, Italy, where he obtained his Ph.D. with a thesis on the newly observed Higgs boson at the Large Hadron Collider at CERN, Geneva. He spent 3 more years at CERN as a research associate for the Imperial College, London analyzing​ the data of the CMS particle detector in search of production of so-called "supersymmetric particles". Since 2 years he turned into data science in the private sector. After a short period in Zürich, working in the IoT sector, he joined Predictive Layer where he is specializing in the analysis of time series data and predictive modeling​. In particular, he is responsible for the projects in the energy sector, where he applies his skills to forecast energy demand, renewable energy production, ​and electricity price. https://www.linkedin.com/in/stefano-casasso/

## Organizers ##

SwissAI Machine Learning Meetup is one of the larges AI meetups in Switzerland, with regular meetings, great speakers invited from academia and industry and over 1200 members from Lake Geneva Area. For more information and future events visit https://www.SwissAI.org

Pawel Rosikiewicz, Founder of SwissAI,, Event Organiser
https://www.linkedin.com/in/pawel-rosikiewicz/

Juraj Korček, Data Scientist and ML Engineer, Event co-organiser and Interviews
https://www.linkedin.com/in/korcekjuraj/

Ieva Vaišnoraitė-Navikienė, ML Engineer, Event co-organiser
https://www.linkedin.com/in/ieva-vaisnoraite-navikiene/

Matteo Pagliardini, Senior ML Engineer, Event co-organiser
https://www.linkedin.com/in/matteo-pagliardini/

Clement Charollais, EPFL, Camera Operator and Movie Editing 
https://www.linkedin.com/in/clément-charollais-b7209177/


Sponsors:
École Polytechnique Fédérale de Lausanne (EPFL)
https://www.epfl.ch

Innovaoud
https://www.innovaud.ch

SamurAI - Data Science Services
https://www.samurai.team