مروری بر کاربردهای هوش مصنوعی و کلان داده ها در ساختمان ها
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مروری بر کاربردهای هوش مصنوعی و کلان داده ها در ساختمان ها

عنوان فارسی مقاله: مروری بر کاربردهای هوش مصنوعی و کلان داده ها در ساختمان ها برای بهره وری انرژی و یک محیط زندگی سربسته راحت
عنوان انگلیسی مقاله: A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment
مجله/کنفرانس: انرژی و ساختمان ها – Energy and Buildings
رشته های تحصیلی مرتبط: مهندسی معماری، مهندسی انرژی، مهندسی کامپیوتر
گرایش های تحصیلی مرتبط: تکنولوژی معماری، فناوری های انرژی، هوش مصنوعی
کلمات کلیدی فارسی: هوش مصنوعی، کلان داده ها، ساختمان های سبز، معماری پایدار
کلمات کلیدی انگلیسی: Artificial intelligence, Big data, Green buildings, Sustainable architecture
نوع نگارش مقاله: مقاله مروری (Review Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.enbuild.2019.109383
دانشگاه: Jeju National University, South Korea
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2020
ایمپکت فاکتور: 5.031 در سال 2019
شاخص H_index: 147 در سال 2020
شاخص SJR: 1.934 در سال 2019
شناسه ISSN: 0378-7788
شاخص Quartile (چارک): Q1 در سال 2019
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 13
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14562
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


1- AI evolution, classification, and techniques


2- Big data and artificial intelligence


3- Applications of AI and BD to energy-efficient buildings


4- Recent applications of AI and BD to energy efficient buildings


5- Summary


Declaration of Competing Interest


Acknowledgements


References

نمونه متن انگلیسی مقاله

Abstract


After decades of evolution and improvements, Artificial Intelligence (AI) is now taking root in our daily lives, and is starting to profoundly influence the fields of architecture and sustainability. The applications of AI to sustainable architecture include energy-efficient building design, forecasting and minimizing energy consumption, strategizing for mitigating impacts on environment and climate, and enhancements in the safety and comfort of the living environment. Due to the significant increases in internet speed and accessibility and the drops in computer prices and data storage costs in recent years, Big Data (BD) nowadays plays an important supplementary role to AI. Algorithms and computer codes have been developed for data mining and analysis. BD rejuvenates AI methods and applications in many areas, including sustainable architecture. The present paper starts with an introduction to AI history and techniques. This is followed by a discussion on how AI and BD can be used to design and operate energy–efficient commercial buildings and residential houses, followed by a review of recent applications of AI and BD to energy-efficient buildings with an emphasis on the use of machine learning (ML) and large databases. Future research topics are suggested at the end of this paper. It is reemphasized in the present paper that AI, when combined with BD, can tremendously increase the energy efficiency and cost effectiveness of buildings which are designed to provide occupants with a comfortable indoor living environment.


AI evolution, classification, and techniques


Minsky and McCarthy described AI as “the ability of a machine or a program to perform a task, which would require some kind of intelligence if it was carried out by a human being” [۱]. Wang thought that AI could be defined on the basis of structure, behavior, capabilities, function and principles [2]. Nilsson defined AI as the “activity devoted to making machines intelligent, and intelligence is the quality that enables an entity to function appropriately and with foresight in its environment” [۳]. Lacking a precise and universally accepted definition might in fact help the advancement of the field of AI. Some of the capabilities of AI systems that can be associated with human intelligence are problem solving, knowledge representation, reasoning, learning, and to some lesser extent, social intelligence, and creativity.


The concept of AI is based on the assumption that the human thought process can be mechanized. Even before the industrial era, speculations of AI could be seen in different civilizations. However, its first practical application was seen during World War II. Alan Turing, a noted British mathematician and computer scientist, and his teammates created the Bombe machine to decipher the Enigma code, leading to the foundation of ML (Machine Learning).

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