Applied machine learning in wind speed prediction and loss minimization in unbalanced radial distribution system-Reference-Cited by-同舟云学术

Applied machine learning in wind speed prediction and loss minimization in unbalanced radial distribution system

Published:2020-12-30 Issue: Volume: Page:1-21
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Routray Aliva¹,Mistry Khyati D¹,Arya Sabha Raj¹^ORCID,Chittibabu B.²^ORCID

Affiliation:

1. Department of Electrical Engineering, S. V. National Institute of Technology, Surat-, Gujarat, India

2. Dept. Of Electronics and Communication Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai-India

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2020.1859010

Reference34 articles.

1. Optimal reconfiguration and DG allocation in balanced and unbalanced distribution systems

2. An extreme learning machine based very short-term wind power forecasting method for complex terrain

3. An alternative methodology to evaluate sites using climatology criteria for hosting wind, solar, and hybrid plants

4. Integration of weather forecast and artificial intelligence for a short-term city-scale natural gas consumption prediction

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