Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach DOI Open Access

Qiang Wang,

Shuyu Li, Min Zhang

et al.

Energy, Journal Year: 2021, Volume and Issue: 239, P. 122280 - 122280

Published: Oct. 7, 2021

Language: Английский

Long-Term Forecasting of Electrical Loads in Kuwait Using Prophet and Holt–Winters Models DOI Creative Commons
Abdulla I. Almazrouee, Abdullah M. Almeshal, Abdulrahman Almutairi

et al.

Applied Sciences, Journal Year: 2020, Volume and Issue: 10(16), P. 5627 - 5627

Published: Aug. 13, 2020

The rapidly increasing population growth and expansion of urban development are undoubtedly two the main reasons for global energy consumption. Accurate long-term forecasting peak load is essential saving time money countries’ power generation utilities. This paper introduces first investigation into performance Prophet model in Kuwait. compared with well-established Holt–Winters to assess its feasibility accuracy loads. Real data electric peaks from Kuwait powerplants 2010 2020 were used peaks, between 2030. has shown more accurate predictions than five statistical metrics. Besides, robustness models was investigated by adding Gaussian white noise different intensities. proven be robust model. Furthermore, generalizability test that outperforms reported results suggest forecasted maximum expected reach 18,550 19,588 MW 2030 study suggests best months scheduling preventive maintenance year 2021 November until March both models.

Language: Английский

Citations

83
Industry 4.0 and demand forecasting of the energy supply chain: A literature review DOI
Ali Roozbeh Nia, Anjali Awasthi, Nadia Bhuiyan

et al.

Computers & Industrial Engineering, Journal Year: 2021, Volume and Issue: 154, P. 107128 - 107128

Published: Jan. 19, 2021

Language: Английский

Citations

75
A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system DOI
Ying Wu, Yanpeng Wu, Josep M. Guerrero

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2021, Volume and Issue: 150, P. 111409 - 111409

Published: July 31, 2021

Language: Английский

Citations

75
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder DOI
Ahmad Jahanbakhshi, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi

et al.

Computers in Biology and Medicine, Journal Year: 2021, Volume and Issue: 136, P. 104728 - 104728

Published: Aug. 3, 2021

Language: Английский

Citations

72
Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach DOI Open Access

Qiang Wang,

Shuyu Li, Min Zhang

et al.

Energy, Journal Year: 2021, Volume and Issue: 239, P. 122280 - 122280

Published: Oct. 7, 2021

Language: Английский

Citations

68