An Ensemble Model for Water Temperature Prediction in Intensive Aquaculture-Reference-Cited by-同舟云学术

An Ensemble Model for Water Temperature Prediction in Intensive Aquaculture

Published:2023 Issue: Volume:11 Page:137285-137302
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Mingyan¹,Xu Qing¹,Cao Yingying²,Hassan Shahbaz Gul²^ORCID,Liu Wenjun²,He Min²,Liu Tonglai²^ORCID,Xu Longqin²,Cao Liang²^ORCID,Liu Shuangyin²,Wu Huilin³

Affiliation:

1. College of Mechanical Engineering, Guangdong Ocean University, Zhanjiang, China

2. Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching, Guangdong Ocean University, Zhanjiang, China

3. National S&T Innovation Center for Modern Agricultural Industry (Guangzhou), Guangzhou, China

Funder

National Natural Science Foundation of China

Special Project of Laboratory Construction of Guangzhou Innovation Platform Construction Plan

Guangzhou Science and Technology Plan Project

Guangdong Science and Technology Project

Innovation Team Project of Universities in Guangdong Province

Guangdong Province Enterprise Science and Technology Commissioner Project

Rural Science and Technology Correspondent Project of Zengcheng District, Guangzhou City

Guangdong Provincial Graduate Education Innovation Plan Project

Guangdong Agricultural Product Big Data Operation and Application—Construction of Big Data Platform Project

Guangdong Provincial College Students Innovation and Entrepreneurship Training Plan Project

National College Students Innovation and Entrepreneurship Training Plan Project

Haizhu District Science and Technology Project through the Haike Industrial and Commercial Information Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10341251.pdf?arnumber=10341251

Reference48 articles.

1. Study of short-term water quality prediction model based on wavelet neural network

2. A CNN-LSTM-Based Model to Forecast Stock Prices

3. Prediction of Coastal Water Temperature Using Statistical Models

4. Data-Driven Building Energy Consumption Prediction Model Based on VMD-SA-DBN

5. Water-Quality Prediction Using Multimodal Support Vector Regression: Case Study of Jialing River, China

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