Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities

Overview

This repository contains the code implementation for the paper "Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities", submitted to IEEE Access. The project focuses on predicting energy consumption and environmental factors (e.g., temperature, humidity) in cold storage facilities using a machine learning pipeline. The goal is to optimise energy usage while maintaining appropriate environmental conditions.

Note: The dataset used in the paper is proprietary and cannot be shared publicly. You may apply the proposed pipeline to your data using the provided code.

Contact Information

For questions or issues regarding the code, please contact:

• Nasser Alkhulaifi
  [email protected]