Rooftops Classification and Solar Installation Acceleration using Deep Learning
July 29th, 2021

In this article, we will go through the process of commercial rooftops classification using Deep Learning methods. And accelerate the installation of solar energy in North America, as a part of Omdena’s challenge with EnergyTech startup. A walkthrough in understan

Read More

Tags: , , ,

AI for Solar Energy Adoption in Sub-Saharan Africa
July 23rd, 2021

There is a rising demand of electricity access in households and communities with likely 70% of this demand covered by solar energy! This article describes how an Omdena team created two dashboards in an AI challenge with impact startup NeedEnergy .  One dashboard f

Read More

Tags: , , , ,

Estimating Electricity Demand of Sub-Saharan Africa Using AI
July 8th, 2021

Sub-Saharan Africa has 600 million people who do not have access to electricity. In this study, we have been able to go beyond typical kWh/m² benchmarks and provide two linear models that can estimate residential electricity demand given a household’s monthly income

Read More

Tags: , , ,

Harnessing AI and Open Source Satellite Imagery to Address Global Problems
March 1st, 2021

Omdena successfully combines AI and ML methodologies with open source, low resolution satellite imagery to create actionable solutions for powerful insights.   Introduction Every day, millions of images are captured from space by an ever-growing number of satellite

Read More

Tags: , , ,

Machine Learning For Rooftop Detection and Solar Panel Installment
October 12th, 2020

By Harshita Chopra   Solar energy is a promising and freely available resource for managing the forthcoming energy crisis, without hurting the environment. Unlike conventional fossil fuels, it won’t run out anytime soon. Fact — There’s enough solar energy

Read More

Tags: , , ,

Demo Day Insights | Accelerating the Clean Energy Transition | World Energy Council
July 11th, 2020

By Rosana de Oliveira Gomes Two Omdena teams with a total of 50 AI experts and data scientists from 25 countries collaborated with the World Energy Council and the Nigerian NGO RA365 in carrying out data-driven analyses and providing AI solutions to address the Global T

Read More

Tags: , , , , , ,