ANN Based Load Forecasting Model for Short Term Planning: A Case Study of Ota Community in Nigeria-Reference-Cited by-同舟云学术

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ANN Based Load Forecasting Model for Short Term Planning: A Case Study of Ota Community in Nigeria

Published:2023-11-20 Issue: Volume:35 Page:94-100
ISSN:
Container-title:2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
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Author:

Awelewa Ayokunle¹,Olajube Ayobami²,Ojo Kayode³,Samuel Isaac¹,Davies Henry¹,Akinola Olubunmi⁴

Affiliation:

1. Covenant University,Department of Electrical and Information Engineering,Ota,Ogun State,Nigeria

2. Florida State University,Department of Electrical and Computer Engineering,Tallahassee,Florida,United States

3. Bells University of Technology,Department of Mechatronics Engineering,Ota,Ogun State,Nigeria

4. Federal University of Agriculture,Department of Electrical Engineering,Abeokuta,Ogun State,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391285/10391106/10391739.pdf?arnumber=10391739

Reference23 articles.

1. ARTIFICIAL NEURAL NETWORK BASE SHORT-TERM ELECTRICITY LOAD FORECASTING: A CASE STUDY OF A 132/33KV TRANSMISSION SUB-STATION

2. Hybrid microgrid for microfinance institutions in rural areas: A field demonstration in West Africa;Esan;Sustain. Ener. Assess.,2019

3. Short-term load forecasting by artificial neural networks using individual and collective data of preceding years

4. Medium-Term Electric Load Forecasting Using Multivariable Linear and Non-Linear Regression

5. Long-term load forecast modelling using a fuzzy logic approach

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