Enegry Monitor

Enegry Monitor

Casper van Zyl

Casper van Zyl

Johannesburg, Gauteng

Energy Monitoring System with deep learning framework to predict user consumption patterns

Artificial Intelligence, Internet of Things

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Description

Watt-Link Solutions’ energy monitoring system measures several (4) different power consumption lines in real time (data is available immediately). •The system can also measure power generated by renewable sources implemented by the user. •This gives the user the power of knowing… •Data will be available on an easy to use web interface •Informative graphs •Current, hourly, daily, weekly, etc. data will help the user to analyse •Budget Estimator and limits

By using Intel deep learning framework to predict user consumption patterns: •Watt-Link Solutions’ energy monitoring system will store all the data of the system in a Mongo database and use intel deep learning framework to analyse the data and predict the user's consumption. •The deep learning analysing will group each user in a predefined model. This models can be consumption usage based or more type based. •The analysis can detect and predict certain events by analysing the correlation between certain variables in the time series.

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Casper v. added photos to project Enegry Monitor

Medium c95d8bf5 21b4 4611 b1eb af35694a0464

Enegry Monitor

Watt-Link Solutions’ energy monitoring system measures several (4) different power consumption lines in real time (data is available immediately).
•The system can also measure power generated by renewable sources implemented by the user.
•This gives the user the power of knowing…
•Data will be available on an easy to use web interface
•Informative graphs
•Current, hourly, daily, weekly, etc. data will help the user to analyse
•Budget Estimator and limits

By using Intel deep learning framework to predict user consumption patterns:
•Watt-Link Solutions’ energy monitoring system will store all the data of the system in a Mongo database and use intel deep learning framework to analyse the data and predict the user's consumption.
•The deep learning analysing will group each user in a predefined model. This models can be consumption usage based or more type based.
•The analysis can detect and predict certain events by analysing the correlation between certain variables in the time series.

Medium 0 1zv4buhdkxssybct8xfya6lh1hgafucynbfo9 as1xtbfbtg1k6yi6ld8etcyv2jkpfoqjre1 3 dejaqywbkbkik 3tdeky1ywvluuwahkudj3c1vurfs eju

Casper v. created project Enegry Monitor

Medium c95d8bf5 21b4 4611 b1eb af35694a0464

Enegry Monitor

Watt-Link Solutions’ energy monitoring system measures several (4) different power consumption lines in real time (data is available immediately). •The system can also measure power generated by renewable sources implemented by the user. •This gives the user the power of knowing… •Data will be available on an easy to use web interface •Informative graphs •Current, hourly, daily, weekly, etc. data will help the user to analyse •Budget Estimator and limits

By using Intel deep learning framework to predict user consumption patterns: •Watt-Link Solutions’ energy monitoring system will store all the data of the system in a Mongo database and use intel deep learning framework to analyse the data and predict the user's consumption. •The deep learning analysing will group each user in a predefined model. This models can be consumption usage based or more type based. •The analysis can detect and predict certain events by analysing the correlation between certain variables in the time series.

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