Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction-Reference-Cited by-同舟云学术

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Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction

Published:2021-03 Issue: Volume:66 Page:102686
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Niu Wen-jing,Feng Zhong-kai,Feng Bao-fei,Xu Yin-shan,Min Yao-wu

Funder

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference74 articles.

1. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings;Ahmad;Sustainable Cities and Society,2020

2. Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance;Allawi;Knowledge-based Systems,2019

3. Scheduling charging of hybrid-electric vehicles according to supply and demand based on particle swarm optimization, imperialist competitive and teaching-learning algorithms;Amirhosseini;Sustainable Cities and Society,2018

4. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models;Barzegar;The Science of the Total Environment,2017

5. Chaotic dynamic weight particle swarm optimization for numerical function optimization;Chen;Knowledge-based Systems,2018

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