Alan Fortuny Sicart

Energy communities goes back to the 1970s with the oil price shocks to ensure affordability of energy in communities. Currently in Europe there is the mandate of clear regulation in favor of energy communities that are the more relevant given the current and expected future energy inflation. To follow along the progress of the energy community framework , where we can see all the projects taking place in europe. Notable the existance of 4000 projects in Germany, comparing to 200 in Spain. Currently, half of european households could be involved in projects related to energy communities or being more independing in their energy use.   Energy communities are called as such if at least 51% is owner locally (how far local remains something to make concrete and varies across countries). Energy communities are organizations where citiziens own and participate in energy provisioning or efficiency related projects. The areas of activities are hydroelectric dams, solar panels, wind tur...

 Working with clean, well structured binary classification problems is one thing, but being able to manipulate any image data and fine tune the model to achieve the most in the least time is another cake. In this section we will learn some basics of image data sets structures and how to fine tune the model to improve generalization and performance. In doing so we reach winning level performance in a real life problem of wildlife detection in the jungle. Using pytorch and fastai on a real data set The internet is full of tutorials with very curated data sets, here I am going to use a real data set from one site called drivendata, which contain many great competititions to use ML/DL for social and environmental problems.  https://www.drivendata.org/competitions/87/competition-image-classification-wildlife-conservation/page/409/ The goal is here to detect species that are moving, at night... so this is quite challenging but also fun as this is a real problem. I will go through t...