A holistic review on energy forecasting using big data and deep learning models-Reference-Cited by-同舟云学术

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A holistic review on energy forecasting using big data and deep learning models

Published:2021-04-12 Issue:9 Volume:45 Page:13489-13530
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Devaraj Jayanthi¹,Madurai Elavarasan Rajvikram²^ORCID,Shafiullah GM³^ORCID,Jamal Taskin⁴^ORCID,Khan Irfan²^ORCID

Affiliation:

1. Department of Information Technology Sri Venkateswara College of Engineering Chennai India

2. Clean and Resilient Energy Systems (CARES) Laboratory Texas A&M University Galveston Texas USA

3. Discipline of Engineering and Energy Murdoch University Murdoch Australia

4. Department of Electrical and Electronic Engineering Ahsanullah University of Science and Technology Dhaka Bangladesh

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6679

Reference170 articles.

1. Role of renewable energy sources in environmental protection: A review

2. The Human Cost of Anthropogenic Global Warming: Semi-Quantitative Prediction and the 1,000-Tonne Rule

3. Climate change impacts on renewable energy generation. A review of quantitative projections

4. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

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