A Novel Deep Learning Architecture for Data-Driven Energy Efficiency Management (D2EEM) - Systematic Survey

A Novel Deep Learning Architecture for Data-Driven Energy Efficiency Management (D2EEM) - Systematic Survey

The Energy Management System (EMS) is the cost-effectiveness, robustness, and flexible approach for energy efficiency management (EEM). Data-Driven Energy Efficiency Management (D2EEM) is a recent advancement in EMS. The D2EEM is the blend of data science and artificial intelligence for EEM. Due to...

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Bibliographic Details
Main Authors: Akhtar, Shamim, Muhamad Zahim, Sujod, Hussain Rizvi, Syed Sajjad
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2021
Subjects:
QA76 Computer software
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/38589/
http://umpir.ump.edu.my/id/eprint/38589/1/A%20Novel%20Deep%20Learning%20Architecture%20for%20Data-Driven%20Energy%20Efficiency%20Management%20%28D2EEM%29%20-%20Systematic%20Survey.pdf
http://umpir.ump.edu.my/id/eprint/38589/2/IEEE_A_Novel_Deep_Learning_Architecture_for_Data-Driven_Energy_Efficiency_Management_D2EEM_-_Systematic_Survey.pdf

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