Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC)

MLA

Hanan Aljuaid, et al. “Forecasting Electricity Consumption Based on Machine Learning to Improve Performance: A Case Study for the Organization of Petroleum Exporting Countries (OPEC).” Computers & Electrical Engineering, vol. 86, Sept. 2020, p. 106737. EBSCOhost, https://doi.org/10.1016/j.compeleceng.2020.106737.

APA

Hanan Aljuaid, Abdullah Khan, Asfandyar Khan, Muhammad Asim, Mukhtar Fatihu Hamza, Haruna Chiroma, Javed Iqbal Bangash, & Muhammad Imran. (2020). Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC). Computers & Electrical Engineering, 86, 106737. https://doi.org/10.1016/j.compeleceng.2020.106737

Chicago

Hanan Aljuaid, Abdullah Khan, Asfandyar Khan, Muhammad Asim, Mukhtar Fatihu Hamza, Haruna Chiroma, Javed Iqbal Bangash, and Muhammad Imran. 2020. “Forecasting Electricity Consumption Based on Machine Learning to Improve Performance: A Case Study for the Organization of Petroleum Exporting Countries (OPEC).” Computers & Electrical Engineering 86 (September): 106737. doi:10.1016/j.compeleceng.2020.106737.