Prediction and Optimization of Building Energy Consumption Using Soft-Computing Methods Part1: Basic Concepts and case study

In this paper, the basic concepts of prediction and optimization of building energy consumption using a novel method which is a combination of neural network, fuzzy control and genetic algorithm is presented. The main idea is to combine the potential capabilities of genetic algorithm and fuzzy control in an efficient manner. The basic concept is developed and a case study is discussed. The results are encouraging and the method will be implemented to a BMS problem

Authors

M Fardadi

Center of Excellence in Energy Conversion, School of Mechanical EngineeringSharif University of TechnologyTehran, Iran

S.K Hannani

E Hessari

Certificate
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https://civilica.com/doc/150499

شناسه ملی سند علمی:

ICS06_089

تاریخ نمایه سازی: 18 تیر 1391

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Fardadi, M and Hannani, S.K and Hessari, E,1383,Prediction and Optimization of Building Energy Consumption Using Soft-Computing Methods Part1: Basic Concepts and case study,6th Intelligent Systems Conference,Kerman,https://civilica.com/doc/150499

Scientometrics

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Ranking of Sharif University of Technology

Type of center: دانشگاه دولتی

Paper count: 16,507

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