Time Series Forecasting for Decision Making on City-Wide Energy Demand: A Comparative Study-Reference-Cited by-同舟云学术

Time Series Forecasting for Decision Making on City-Wide Energy Demand: A Comparative Study

Published:2022-03-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Decision Aid Sciences and Applications (DASA)
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Author:

Nooruldeen Orhan¹,Alturki Salwan²,Baker Mohammed Rashad¹,Ghareeb Ahmed³

Affiliation:

1. Imam Ja'Afar Al-Sadiq University,Department of Computer Techniques Engineering,Baghdad,Iraq

2. College of Engineering Al Muthanna University,Al Muthanna,Iraq

3. University of Dayton,Department of Mechanical and Aerospace Engineering,Dayton,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9764877/9764959/09765193.pdf?arnumber=9765193

Reference17 articles.

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2. Long short term memory networks for short-term electric load forecasting

3. Building energy load forecasting using Deep Neural Networks

4. A novel genetic LSTM model for wind power forecast

5. Using the LSTM Network to Forecast the Demand for Electricity in Poland

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