$-secC$ cout $cosk=$

$\backslash$table$[[A,B,C,D,E,F$

Problem Statement: Precool overshoot exists which leads to energy wastage.

Overall goal: Conserve energy in the AHU

Objective: Prevent overshoot of pre$-$cool to minimize energy consumption of the AHU without affecting existing operation levels.

Focuses: How to define$/$ find precool and overshoot, what is the AHU?, how does operation level affect energy consumption?

First AI model: Classification in gaussian process regression, inputs are one months worth of data from an exhibition hall $($includes $3$ AHUs$)$ which include return air temperature, AHU on$/$off status. Output is to classify the duration of the idle period, move in$/$move out period, last move in period, event and predict precool time.

Second AI model: Prediction in gaussian process regression, inputs will be the event schedule that the earlier model predicted, output will be how the precool time changes based on when the AHU turns on$.$

Evaluation will be to access the energy consumption change in the AHU from calculating load of the room.

if you solve the question in detail then I will give you good review.

Cooly

RAT longrightarrow SAT

$$ Zorgy Conservation

$E_{RHT}-z_{ac}=z_{STT}$

$30000$ d$4$

Rr$1$

$h_{STT}=h_{\text{R}\text{e}\text{T}}-\frac{z_{ax}}{7_{ho,ir}}$

Volwere is fixed ${42\mathrm{.}00}^3$