Smart Meter Data Analytics for Load Prediction using Extreme Learning Machines and Artificial Neural Networks-Reference-Cited by-同舟云学术

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Smart Meter Data Analytics for Load Prediction using Extreme Learning Machines and Artificial Neural Networks

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
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Author:

Sulaiman S. M.,Aruna Jeyanthy P.,Devaraj D.,Mohammed S. Sheik,Shihabudheen K. V.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9163794/9167684/09167736.pdf?arnumber=9167736

Cited by 6 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. Residential load forecasting by a PSO-tuned ANFIS2 method considering the COVID-19 influence;Frontiers in Energy Research;2024-01-08

2. A Comprehensive Review of Various Machine Learning Techniques used in Load Forecasting;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2023-05

3. Vector Auto-Regression-Based Predictive model for Smart Meter;2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT);2023-03-17

4. Smart Electricity Meter Load Prediction in Dubai Using MLR, ANN, RF, and ARIMA;Electronics;2023-01-12

5. Optimization of plug-in electric vehicle charging in a residential building with solar photovoltaic system;INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”;2023

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