Residential Electricity Power Forecasting using GRU-based CNN and SAE Ensembler-Reference-Cited by-同舟云学术

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Residential Electricity Power Forecasting using GRU-based CNN and SAE Ensembler

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)
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Author:

Raza Ali¹,Ali Usman²,Ali Zain³,Saeed Muhammad Hamza⁴,Khan Raja Jalees Ul Hussen⁵,Ayub Nasir⁶

Affiliation:

1. COMSATS University Islamabad,Department of Computer Science,WahCantt Campus,pakistan

2. Riphah International University,Computing Department,Faisalabad,Pakistan

3. HITEC University,Department of Electrical Engineering,Taxila,Pakistan

4. National Textile University,Department of Computer Science,Faisalabad,Pakistan

5. Superior University Gold Campus,Department of Software Engineering,Lahore,Pakistan

6. Capital University of Science and Technology,Department of Software Engineering,Islamabad,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10138803/10138804/10138872.pdf?arnumber=10138872

Reference18 articles.

1. Mid- to Long-Term Electric Load Forecasting Based on the EMD–Isomap–Adaboost Model

2. Big Data Analytics for Short and Medium-Term Electricity Load Forecasting Using an AI Techniques Ensembler

3. Electricity Price Forecasting for Operational Scheduling of Behind-the-Meter Storage Systems

4. Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities

5. Big Data Analytics for a Novel Electrcical Load Forecasting;ali;Int J Inf Technol Secur,2019

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