A Comparison of Univariate Methods for Day-Ahead Short-Term Load Forecasting-Reference-Cited by-同舟云学术

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A Comparison of Univariate Methods for Day-Ahead Short-Term Load Forecasting

Published:2024-06-25 Issue: Volume:18 Page:662-667
ISSN:
Container-title:2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
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Author:

Ghione Giorgia¹,Judge Malik Ali²,Badami Marco³,Pasero Eros¹,Franzitta Vincenzo²,Cirrincione Giansalvo⁴

Affiliation:

1. Politecnico di Torino,Department of Electronics and Telecommunications,Turin,Italy

2. University of Palermo,Department of Engineering,Palermo,Italy

3. Politecnico di Torino,Department of Energy,Turin,Italy

4. University of Picardie Jules Verne,Lab. LTI,Amiens,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608458/10608460/10608727.pdf?arnumber=10608727

Reference33 articles.

1. The Relationship Between Summer Weather and Summer Loads - A Regression Analysis

2. LEAP simulated economic evaluation of sustainable scenarios to fulfill the regional electricity demand in Pakistan

3. Analysis of the value for unit commitment of improved load forecasts

4. International energy outlook;Sieminski;Energy information administration (EIA),2014

5. Machine learning‐based energy consumption clustering and forecasting for mixed‐use buildings

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