THERMAL LOAD PREDICTION USING XGBOOST AND LSTM MACHINE LEARNING ALGORITHM IN DATA CENTER ENERGY MANAGEMENT BASED ON DIGITAL TWIN

<p align="justify">In this research, a digital twin technique was developed to make thermal load predictions through real time data on the HVAC system in the data center. Digitization of physical device systems is carried out using IoT (internet of things) technology, through this...

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Bibliographic Details
Main Author: Fariz Mustaram, Rizal
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70307
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Institution: Institut Teknologi Bandung
Language: Indonesia