ANN-for-a-regression-problem

In this project, I examined a regression problem by using Artificial Neural Network (ANN) using TENSORFLOW 2.3.1. The dataset which was applied in my previous project called "Regression" is used in this study too, that contains 9568 data points collected from a Combined Cycle Power Plant over 6 years and we want to try to predict an energy output without understanding how it works or science behind the energy.
For predicting it we have 4 features which are:
AT : ambient Temperature in the range 1.81°C and 37.11°C
V : Exhaust Vacuum in the range 25.36-81.56 cm Hg
AP : Ambient Pressure in the range 992.89-1033.30 milibar
RH : Relative Humidity in the range 25.56% to 100.16%.