Energy-economic optimization of wall thermal insulation thickness in diverse residential buildings

Published: 2 January 2025| Version 1 | DOI: 10.17632/d9zgx4vx2y.1
Contributor:
mahdi mohammadi

Description

Three Python files for the code of three different models with extensions .py Three models for heating, cooling, and coefficient with extensions .h5 Two file for standardizing the data used with extensions .pkl Two Excel files: one for the data used in the heating and cooling load models and the other for the coefficient model

Files

Categories

Artificial Neural Network, Database

Licence