Hybrid Modeling of Central Air-Conditioning Cold Source System Energy Consumption with K-means Cluster Algorithm

Hybrid K-means Algorithm and Genetic Algorithm for Cluster Analysis

Cluster analysis is a fundamental technique for various filed such as pattern recognition, machine learning and so forth. However, the cluster number is predefined by users in K-means algorithm, which is unpractical to implement. Since the number of clusters is a NP-complete problem, Genetic Algorithm is employed to solve it. In addition, due to the large time consuming in conventional method, ...

Air-conditioning: Energy Consumption and Environmental Quality

Determining the optimal size of a ground source heat pump within an air-conditioning system with economic and emission considerations

One of the most challenging issues in modern-day building energy management involves equipping the buildings with more energy efficient facilities. In this paper, a hybrid system for cooling/heating for a residential building is developed and optimized. The system consists of a ground source heat pump (GSHP) as well as an electric chiller (EC) and boiler. The model is implemented in MATLAB ...

A Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS

Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...

Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm

Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...