Energy Use Prediction in Solar Water Heaters: Modified Shallow Swarm Optimization with Deep Learning Approach-Reference-Cited by-同舟云学术

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Energy Use Prediction in Solar Water Heaters: Modified Shallow Swarm Optimization with Deep Learning Approach

Published:2024-03-15 Issue: Volume:17 Page:1-7
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
language:
Short-container-title:

Author:

Deepanraj B.¹,Syam Sundar L.¹,Sharma Prabhakar²,Ravikumar N.T.³

Affiliation:

1. Prince Mohammad Bin Fahd University,Department of Mechanical Engineering,Al-Khobar,Saudi Arabia

2. Delhi Skill and Entrepreneurship University,Department of Mechanical Engineering,Delhi,India

3. Greenko Foundation, Greenko Group, Madhapur,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515731.pdf?arnumber=10515731

Reference21 articles.

1. Experimental study and simulation model of a direct expansion solar assisted heat pump to CO2 for water heating: Inventory, coefficient of performance and total equivalent warming impact

2. Heating energy-saving potentials in HVAC system of swimming halls: A review

3. Ground source heat pump control methods for solar photovoltaic-assisted domestic hot water heating

4. Modeling of solar energy systems using artificial neural network: A comprehensive review

5. Intelligent wild geese algorithm with deep learning driven short term load forecasting for sustainable energy management in microgrids

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