A machine learning approach based on neural networks for energy diagnosis of telecommunication sites
Author:
Publisher
Elsevier BV
Subject
General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering
Reference36 articles.
1. Development and experimental verification of data-driven approaches to real-time energy monitoring and diagnosis of telecommunication sites;Malafronte;Int J Energy Res,2021
2. On the use of neural networks and statistical tools for nonlinear modeling and on-field diagnosis of solid oxide fuel cell stacks;Sorrentino;Energy Proc,2014
3. Kuriyama, A., Abe, N., Ex-post assessment of the Kyoto Protocol - quantification of CO2 mitigation impact in both Annex B and non-Annex B countries. Appl Energy, 220:286-295.
4. Evaluating the prospect of utilizing excess energy and creating employments from a hybrid energy system meeting electricity and freshwater demands using multi-objective evolutionary algorithms;Das;Energy,2022
5. Techno-economic optimization of a zero-emission energy system for a coastal community in Newfoundland, Canada;Islam;Energy,2021
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