Luận văn thạc sĩ Quản lý xây dựng: Tối ưu hóa ước tính mức tiêu thụ năng lượng trong các tòa nhà dựa trên các thuật toán trí tuệ nhân tạo

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county but also of the world Because climete change and incresing prices of energy, along with improvement of the quality of life, so more and more depend on energy The design of current buildings not only creates comfort and convenience for people but also optimizes energy and minimizes negative impacts on the environment

This thesis show the results of the survey on factors affecting the energy consumption needs of apartment buildings The survey was conducted through survey questionnaires and statistical analysis The survey results have ranked the criteria affecting the energy consumption needs of the apartment building The thesis has showed 12 factors that most affect the energy consumption needs of apartment buildings

Then, this thesis has built models to predict energy consumption of apartment buildings by 6 algorithms on artificial intelligence Use 10-fold cross-validation to minimize errors related to random sampling during training Evaluate the single models by Synthesis index From there, combine the best performing models to optimize the predictive model of apartment building's energy consumption

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1.2 ĈҺ7 9Ҩ1 Ĉӄ NGHIÊN &Ӭ8

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ƀŶŐŶŐŚŝҵƉ 42%

EŚăӂ 27%

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22%

sҨŶĐŚƵǇҳŶ 2%

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2018

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+97+/r7ҩQ7jL 9

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+97+/r7ҩQ7jL 10

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+97+/r7ҩQ7jL 11

&+ѬѪ1* 7Ә1*48$1

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Tiêu đề	Tối ưu hóa ước tính mức tiêu thụ năng lượng trong các tòa nhà dựa trên các thuật toán trí tuệ nhân tạo
Tác giả	Lờ Hoài Long
Người hướng dẫn	TS. 7UҫQ ĈӭF +ӑF, 3*6 76 /ѭѫQJ ĈӭF /RQJ, 76 ĈLQK &{QJ 7ӏQK, 76 3KҥP 9Ǌ +ӗQJ 6ѫQ, 76 ĈһQJ 1JӑF &KkX
Trường học	Trường Đại học Khoa học Tự nhiên
Chuyên ngành	Quản lý xây dựng
Thể loại	Luận văn thạc sĩ
Năm xuất bản	2020
Thành phố	Hồ Chí Minh

Định dạng
Số trang	130
Dung lượng	2,91 MB