• Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: IoT
  • Keywords: Carbon Footprint Reduction, Data Analysis, Energy Management, Sustainability
  • Tools: Azure IoT, Chirpstack, Energy Consumption, LoRa, LoRaWAN, Machine Learning, MongoDB, Power Factor, Python, R, Sustainability Considerations in the Industry
  • Citizenship: Open to all students
Summary

Identifying carbon footprint reduction opportunities

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Webee 4 (Energy)' in the Note section, and select the appropriate CRN.