Short-Term Load Forecasting Using AMI Data-Reference-Cited by-同舟云学术

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Short-Term Load Forecasting Using AMI Data

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Mansoor Haris¹^ORCID,Ali Sarwan²^ORCID,Khan Imdad Ullah¹^ORCID,Arshad Naveed¹,Khan Muhammad Asad³,Faizullah Safiullah⁴

Affiliation:

1. Computer Science department, Lahore University of Management Sciences (LUMS), Pakistan

2. Department of Computer Science, Georgia State University, Atlanta, USA

3. Department of Telecommunication, Hazara University, Mansehra, Pakistan

4. Department of Computer Science, Islamic University, Madinah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10184134.pdf?arnumber=10184134

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatio-Temporal Short Term Load Forecasting Using Graph Neural Networks;2023 12th International Conference on Renewable Energy Research and Applications (ICRERA);2023-08-29

2. A Comparison of Ensemble Learning for Intrusion Detection in Telemetry Data;Advances on Intelligent Computing and Data Science;2023

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