Forecasting of Electricity Consumption Using Neural Networks in Public Hospital Buildings with Installed Smart Meters in Thailand-Reference-Cited by-同舟云学术

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Forecasting of Electricity Consumption Using Neural Networks in Public Hospital Buildings with Installed Smart Meters in Thailand

Published:2023-03-10 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Green Energy and Applications (ICGEA)
language:
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Author:

Damrongsak Det¹,Wongsapai Wongkot²,Lekgamheng Napaphat³,Wattakawigran Gengwit³,Promsuk Natthanan⁴,Suetrong Nopparuj⁴

Affiliation:

1. Chiang Mai University,Faculty of Engineering,Department of Mechanical Engineering,Chiang Mai,Thailand

2. Science and Technology Research Institute Chiang Mai University,Chiang Mai,Thailand

3. Energy Technology for Environmental Research Center Chiang Mai University,Chiang Mai,Thailand

4. Chiang Mai University,Faculty of Engineering,Department of Computer Engineering,Chiang Mai,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125568/10125594/10125911.pdf?arnumber=10125911

Reference14 articles.

1. Mean Absolute Percentage Error for regression models

2. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

3. Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

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