Energy efficiency analysis of machinery in the industry has become an active topic of research in the field of Computer Science. Many researches have focused on applying data mining knowledge into the energy consumption determination process. The main aim of deploying the data mining techniques in the industry field is to make the real‐time decision which has been proved to be very challenging due to the highly resource‐constrained computing, communicating capacities, and huge volume of fast‐changed data generated by the machine. This work provides an overview of how traditional data mining algorithms are applied for energy consumption analysis. The data is generated from the Injection molding machine.Bachelor ...
Considering the issue of energy consumption reduction in industrial plants, we investigated a cluste...
The interest in machine learning algorithms is increasing, in parallel with the advancements in hard...
Approaches to detect energy efficiency measures are associated with time consuming analysis requirin...
Energy efficiency analysis of machinery in the industry has become an active topic of research in...
This paper presents a comprehensive summary of the state-of-the-art of energy efficiency research. The...
For the first half of the Final Year Project, the main research focus is to improve K-Means clusteri...
This review critically examines the role of Data Science and Artificial Intelligence (AI) techniques...
Large-scale data centers account for a significant share of the energy consumption in many countries...
Analyzing energy consumption is currently of great interest to define efficient energy management st...
AbstractThe estimation of energy demand (by power plants) has traditionally relied on historical ene...
Information and communication technology plays an important role in approaching energy issues throug...
In recent years, collecting energy consumption data is becoming easier and easier thanks to decreasi...
Machine learning algorithms are responsible for a significant amount of computations. These computat...
A prerequisite to identify energy efficiency potentials and to improve energy efficiency is the meas...
Data mining algorithms are usually designed to optimize a trade-off between predictive accuracy and ...
Considering the issue of energy consumption reduction in industrial plants, we investigated a cluste...
The interest in machine learning algorithms is increasing, in parallel with the advancements in hard...
Approaches to detect energy efficiency measures are associated with time consuming analysis requirin...
Energy efficiency analysis of machinery in the industry has become an active topic of research in...
This paper presents a comprehensive summary of the state-of-the-art of energy efficiency research. The...
For the first half of the Final Year Project, the main research focus is to improve K-Means clusteri...
This review critically examines the role of Data Science and Artificial Intelligence (AI) techniques...
Large-scale data centers account for a significant share of the energy consumption in many countries...
Analyzing energy consumption is currently of great interest to define efficient energy management st...
AbstractThe estimation of energy demand (by power plants) has traditionally relied on historical ene...
Information and communication technology plays an important role in approaching energy issues throug...
In recent years, collecting energy consumption data is becoming easier and easier thanks to decreasi...
Machine learning algorithms are responsible for a significant amount of computations. These computat...
A prerequisite to identify energy efficiency potentials and to improve energy efficiency is the meas...
Data mining algorithms are usually designed to optimize a trade-off between predictive accuracy and ...
Considering the issue of energy consumption reduction in industrial plants, we investigated a cluste...
The interest in machine learning algorithms is increasing, in parallel with the advancements in hard...
Approaches to detect energy efficiency measures are associated with time consuming analysis requirin...