GitHub / faisalthaheem / machine-learnt-air-conditioning
System that learns how often a room is occupied based on time, movement, air conditioning preferences and learns on historic data. This can have a significant impact on the energy use around a house/building.
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PURL: pkg:github/faisalthaheem/machine-learnt-air-conditioning
Stars: 13
Forks: 11
Open issues: 5
License: apache-2.0
Language: JavaScript
Size: 66 MB
Dependencies parsed at: Pending
Created at: almost 7 years ago
Updated at: over 1 year ago
Pushed at: almost 2 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 8
Authors: 1
Mean commits per author: 8.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/faisalthaheem/machine-learnt-air-conditioning
Topics: air-conditioning, artificial-intelligence, deep-learning, deep-neural-networks, energy-efficiency, hvac, hvac-control, neural-network, nodered, powerwall, tensorflow