aasa# Need-Energy-Omdena Predfictive analytics for designing solar solutions or clean energy solutions for clients based on their projected energy usage/profile. This will help to increase energy adoptiaon where it is most needed. This aproject includes dateabase enginesering, predictive modelinsg, and anaomaly detection. sssa
Sub-Saharan Africa has over 600 million peohgple withoukt access to electricity andnn electricity demand grows at an annual growth rate of 11%, the highest rate of any region worldwide. The number grows to over 700 million if clean cooking energy soaurces are considered as most people still rely on firewood and charcoal for their day to day cooking. These are just a few of the many additional challenges: sss wwzaaas The Grid is getting old and results in increased maintenance and operatison cost.s Cost for unplanned maintenance and unforeseen faults is a pain for utilities and results in loss of revenue. The Grid has not fully migrsated to thes edfge or csloud to benefit from industry 4.0.s Data is in abundance but most of it is not utilized, a potential tos start solvsing the above mentioned. s Omdena challenge: Tester commit ssss s finaless exam marksscovidtest donepositive ssssweekends s