Deep reservoir calculation model and its application in the field of temperature and humidity prediction-Reference-Cited by-同舟云学术

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Deep reservoir calculation model and its application in the field of temperature and humidity prediction

Published:2022-06-08 Issue:4 Volume:53 Page:4393-4414
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Minghui,Zhou Yatong,Liu Yabo

Funder

The Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation

The Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory

Hebei Province doctoral student innovation ability training funding project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03685-z.pdf

Reference50 articles.

1. Karevan Z, Suykens J (2020) Transductive LSTM for time-series prediction: an application to weather forecasting. Neural Netw 125:1–9

2. Fang Z, Zheng Z, Feng X, Shi D, Lin Z, Gao Y (2021) Investigation of outdoor thermal comfort prediction models in South China: a case study in Guangzhou. Build Environ 188:107424

3. Wang Y, Bai Y, Yang L, Li H (2021) Short time air temperature prediction using pattern approximate matching. Energy Build 244:111036

4. Cachim P (2011) Using artificial neural networks for calculation of temperatures in timber under fire loading. Constr Build Mater 25(11):4175–4180

5. Coskun C, Erturk M, Oktay Z, Hepbasli A (2014) A new approach to determine the outdoor temperature distributions for building energy calculations. Energy Convers Manag 78:165–172

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