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Changing schedule based on Artificial Neural Network using values from energy plus

asked 2022-01-14 10:06:48 -0600

prp92 gravatar image

updated 2022-01-14 14:55:37 -0600


Is it possible to supply the indoor temperature, indoor RH and other values to the ANN model that can predict the opening and closing of the windows? I already have the model. I have to figure out how can I supply the indoor air parameters like temperature and RH from the energy plus to my ANN model. And also how to replace the Window Open/Close values predicted by ANN model as the schedule to window opening?

I believe this can be done using python but I am not sure how to start.

Thank you so much for your time.

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answered 2022-01-16 18:54:51 -0600

mechyai gravatar image

I would check out the new EMS Python API and see if it suits your needs. It provides the EMS feature of EnergyPlus with a nice Python API for actuating and sensing simulation objects at runtime. I'd check out the EMS Application Guide from the EnergyPlus documentation and the Python API

Using the Python API you can fetch sensor values of indoor parameters at each timestep, feed them to your ANN, then use actuators to implement the output. You should first check if EMS provides actuators for window opening/closing. I know window shading is possible, but unfamiliar with the rest. If window open/close is schedule driven, you can actuate the schedule itself.

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Asked: 2022-01-14 10:06:48 -0600

Seen: 65 times

Last updated: 8 mins ago