Intelligent energy management in microgrid using prediction errors from uncertain renewable power generation-Reference-Cited by-同舟云学术

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Intelligent energy management in microgrid using prediction errors from uncertain renewable power generation

Published:2020-03-05 Issue:8 Volume:14 Page:1552-1565
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Majumder Irani¹,Dhar Snehamoy²,Dash Pradipta Kishore³,Mishra Sthita Prajna¹

Affiliation:

1. Electrical Engineering DepartmentITER, Siksha ‘O’ Anusandhan UniversityKhandagiriBhubaneswarIndia

2. EEE DepartmentITER, Siksha ‘O’ Anusandhan UniversityKhandagiriBhubaneswarIndia

3. Electrical Engineering DepartmentMDRC, Siksha ‘O’ Anusandhan UniversityKhandagiriBhubaneswarIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2019.1114

Reference25 articles.

1. Solar–wind hybrid renewable energy system: A review

2. A review on microgrid central controller

3. A review on issues and approaches for microgrid protection

4. Weather forecasts for microgrid energy management: Review, discussion and recommendations

5. A Comprehensive Review on Solar Powered Electric Vehicle Charging System

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2. Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network;Engineering Applications of Artificial Intelligence;2024-10

3. A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm;Results in Engineering;2023-12

4. Multi-objective Optimization of Energy Consumption in Microgrids Considering CHPs and Renewables Using Improved Shuffled Frog Leaping Algorithm;Journal of Electrical Engineering & Technology;2022-11-07

5. A scenario-based stochastic model for day-ahead energy management of a multi-carrier microgrid considering uncertainty of electric vehicles;Journal of Energy Storage;2022-08

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