Artificial Intelligence Techniques for Modeling Indoor Building Temperature under Tropical Climate Using Outdoor Environmental Monitoring-Reference-Cited by-同舟云学术

Artificial Intelligence Techniques for Modeling Indoor Building Temperature under Tropical Climate Using Outdoor Environmental Monitoring

Published:2020-04 Issue:2 Volume:146 Page:04020004
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

May Tzuc O.¹^ORCID,Livas-García A.²,Jiménez Torres M.³,Cruz May E.⁴^ORCID,López-Manrique Luis M.⁵,Bassam A.⁶

Affiliation:

1. Facultad de Ingeniería, Universidad Autónoma de Yucatán, Av. Industrias No Contaminantes, PC 150, Mérida, Yucatán, México (corresponding author). ORCID: .

2. Facultad de Ingeniería, Universidad Autónoma de Yucatán, Av. Industrias No Contaminantes, PC 150, Mérida, Yucatán, México.

3. Facultad de Ingeniería, Universidad Autónoma de Yucatán, Av. Industrias No Contaminantes, PC 150, Mérida,Yucatán, México.

4. Facultad de Ingeniería, Universidad Autónoma de Yucatán, Av. Industrias No Contaminantes, PC 150, Mérida, Yucatán, México. ORCID: .

5. División Académica de Ingeniería y Arquitectura, Universidad Juárez Autónoma de Tabasco, Carret. Cunduacán-Jalpa de Méndez Km. 1, Unidad Chontalpa, Cunduacán PC 86690, Tabasco, México.

6. Professor, Facultad de Ingeniería, Universidad Autónoma de Yucatán, Av. Industrias No Contaminantes, PC 150, Mérida, Yucatán, México.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EY.1943-7897.0000649

Reference48 articles.

1. Real-time prediction model for indoor temperature in a commercial building

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4. Hybrid case-based reasoning system by cost-sensitive neural network for classification

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