La Kopi @ Developers Space is a monthly open mic night for the developer community to learn, connect, and be inspired by each other. Every month, a tech theme is selected and developers submit their topics to be shared with the community.
Name: Min Htoo Lin (Algorithm Engineer - Deep Learning, )
Topic: Predicting Energy Demand With Neural Networks
Matching electrical energy consumption with the right level of supply is crucial in the modern days. Excess supply of electricity will incurs additional costs and resources, and underestimating the energy consumption may overload the supply line and even causing blackout.
In this session, Min Htoo will share how he and his team have built a relatively accurate neural network model to predict energy consumption.
Be our next La Kopi Speaker →
For more updates on upcoming events, follow us on social media:
✉️ Newsletter →
👤 Facebook →
🐦 Twitter → https://twitter.
3 views
5
2
3 years ago 00:22:19 3
Predicting Energy Demand With Neural Networks
6 years ago 00:04:51 3
Energy Travel Prediction confirmed-again. !!! energy is a waveform
5 years ago 00:10:23 5
Semi-deep learning with user feedback improving energy prediction [...] | AI & Energy | Jiufeng Shi
6 years ago 00:04:15 4
Prediction proven - energy moves in a Lorentz Tree of life
6 years ago 00:04:01 3
David Livingston on UN report predicting ’climate catastrophe’