Efficiency and Optimization of Buildings Energy Consumption. Volume II /

Efficiency and Optimization of Buildings Energy Consumption. Volume II /

Saved in:
Bibliographic Details
Author / Creator:Orosa, José A., author.
Imprint:Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2023.
Description:1 online resource (206 pages)
Language:English
Subject:
Commercial buildings -- Energy conservation.
Commercial buildings -- Energy conservation.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13587751
Hidden Bibliographic Details
Varying Form of Title:Efficiency and Optimization of Buildings Energy Consumption
ISBN:3036565078
9783036565071
Notes:Description based on publisher supplied metadata and other sources.
Summary:This reprint, as a continuation of a previous Special Issue entitled "Efficiency and Optimization of Buildings Energy Consumption", gives an up-to-date overview of new technologies based on Machine Learning (ML) and Internet of Things (IoT) procedures to improve the mathematical approach of algorithms that allow control systems to be improved with the aim of reducing housing sector energy consumption.
Other form:3-0365-6508-6
Standard no.:10.3390/books978-3-0365-6507-1
Table of Contents:
  • About the Editor vii
  • Preface to "Efficiency and Optimization of Buildings Energy Consumption: Volume II" ix
  • Jos ´e A. Orosa Efficiency and Optimization of Buildings Energy Consumption Volume II Reprinted from: Appl. Sci. 2022, 13, 361, doi:10.3390/app13010361 1
  • Ana C. Borbon-Almada, Jorge Lucero-Alvarez, Norma A. Rodriguez-Mu ˜noz, Manuel Ramirez-Celaya, Samuel Castro-Brockman and Nicolas Sau-Soto et al. Design and Application of Cellular Concrete on a Mexican Residential Building and Its Influence on Energy Savings in Hot Climates: Projections to 2050 Reprinted from: Appl. Sci. 2020, 10, 8225, doi:10.3390/app10228225 . 3
  • Aner Martinez-Soto, Yarela Saldias-Lagos, Valentina Marincioni and Emily Nix Affordable, Energy-Efficient Housing Design for Chile: Achieving Passivhaus Standard with the Chilean State Housing Subsidy Reprinted from: Appl. Sci. 2020, 10, 7390, doi:10.3390/app10217390 . 25
  • Jos ´e A. Orosa, Modeste Kameni Nematchoua and Sigrid Reiter Air Changes for Healthy Indoor Ambiences under Pandemic Conditions and Its Energetic Implications: A Galician Case Study Reprinted from: Appl. Sci. 2020, 10, 7169, doi:10.3390/app10207169 . 51
  • Jaqueline Litardo, Massimo Palme, Rub ´en Hidalgo-Le ´on, Fernando Amoroso and Guillermo Soriano Energy Saving Strategies and On-Site Power Generation in a University Building from a Tropical Climate Reprinted from: Appl. Sci. 2021, 11, 542, doi:10.3390/app11020542 65
  • Liguo Weng, Xiaodong Zhang, Junhao Qian, Min Xia, Yiqing Xu and Ke Wang Non-Intrusive Load Disaggregation Based on a Multi-Scale Attention Residual Network Reprinted from: Appl. Sci. 2020, 10, 9132, doi:10.3390/app10249132 . 87
  • Krzysztof Cie´sli ´nski, Sylwester Tabor and Tomasz Szul Evaluation of Energy Efficiency in Thermally Improved Residential Buildings, with a Weather Controlled Central Heating System. A Case Study in Poland Reprinted from: Appl. Sci. 2020, 10, 8430, doi:10.3390/app10238430 . 105
  • Jos ´e Manuel Alvarez-Alvarado, Jos´e Gabriel R´ıos-Moreno, Saul Antonio Obreg ´on-Biosca, ´ Guillermo Ronquillo-Lomel´ı, Eusebio Ventura-Ramos and Mario Trejo-Perea Hybrid Techniques to Predict Solar Radiation Using Support Vector Machine and Search Optimization Algorithms: A Review Reprinted from: Appl. Sci. 2021, 11, 1044, doi:10.3390/app11031044 . 119
  • Miguel Mart´ınez Comesa ˜na, Lara Febrero-Garrido, Francisco Troncoso-Pastoriza and Javier Mart´ınez-Torres Prediction of Building's Thermal Performance Using LSTM and MLP Neural Networks Reprinted from: Appl. Sci. 2020, 10, 7439, doi:10.3390/app10217439 . 137
  • Miguel Mart´ınez-Comesa ˜na, Lara Febrero-Garrido, Enrique Granada-Alvarez, Javier ´ Mart´ınez-Torres and Sandra Mart´ınez-Mari ˜no Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models Reprinted from: Appl. Sci. 2020, 10, 8968, doi:10.3390/app10248968 . 153
  • Yu-Chen Hu, Yu-Hsiu Lin and Chi-Hung Lin Artificial Intelligence, Accelerated in Parallel Computing and Applied to Nonintrusive Appliance Load Monitoring for Residential Demand-Side Management in a Smart Grid: A Comparative Study Reprinted from: Appl. Sci. 2020, 10, 8114, doi:10.3390/app10228114 . 171.

Similar Items