An environmental‐friendly green energy system with a real wind speed prediction based on innovative hierarchical forecast error correction model

Journal article


Akhtar, Iram, Altamimi, Abdullah, Khan, Zafar, Ali and Kirmani, Sheeraz 2022. An environmental‐friendly green energy system with a real wind speed prediction based on innovative hierarchical forecast error correction model. IET Renewable Power Generation.
AuthorsAkhtar, Iram, Altamimi, Abdullah, Khan, Zafar, Ali and Kirmani, Sheeraz
Abstract

Precise forecasting of wind speed is an important technology to permit the reliable and efficient operation of sustainable energy system. Here, the authors offer an effective windspeed prediction (EWSP) technique based on advanced forecast error correction model(AFECM). Ramapuram, Chennai is selected to fit the wind-energy-based systems and ENNORE thermal power station, Chennai is selected to decrease the carbon footprints. In the proposed technique, the error correction model is made to produce the final forecast. The proposed wind speed prediction based on innovative hierarchical forecast error correction model reveals that with the proposed AFEC+MSVM technique, the hourly aver-age RMSEs, MADs, MSEs and MAPEs in Delivery 24 are decreased by 2.277%, 1.012%,0.234%, and 1.245 % as compared to the normal SVM technique, while with AFEC+SVM method, average errors in RMSEs, MADs, MSEs and MAPEs in Delivery-24 are reduced by 3.385%, 2.056%, 1.956% and 2.546% as compared with the normal SVM technique, whereas the forecasting errors with AFEC+BP method, the middling errors in RMSEs, MADs, MSEs and MAPEs in Delivery-24 are decreased by 2.867%, 1.654%, 1.834% and2.298%, compared with simple BP method. The study displays that 1,485,550 kg CO2emission is decreased from the ENNORE thermal power plant.

KeywordsRenewable Energy, Sustainability and the Environment; Energy system
Year2022
JournalIET Renewable Power Generation
PublisherWiley
ISSN1752-1416
1752-1424
Web address (URL)http://hdl.handle.net/10545/626286
http://creativecommons.org/licenses/by/4.0/
hdl:10545/626286
Publication dates15 Feb 2022
Publication process dates
Deposited16 Feb 2022, 16:20
Accepted28 Jan 2022
Rights

Attribution 4.0 International

ContributorsJamia Millia Islamia University, New Delhi, India, Majmaah University, Saudi Arabia, Riyadh, Saudi Arabia, University of Science and Technology, Mirpur AJK, Pakistan, University of Derby and Aligarh Muslim University, Aligarh, Uttar Pradesh, India
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https://repository.derby.ac.uk/item/92576/an-environmental-friendly-green-energy-system-with-a-real-wind-speed-prediction-based-on-innovative-hierarchical-forecast-error-correction-model

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