Azadeh, A., Babazadeh, R. and Asadzadeh, S.M. (2013) Optimum Estimation and Forecasting of Renewable Energy Consumption by Artificial Neural Networks. Renewable and Sustainable Energy Reviews, 27, 605-612.
https://doi.org/10.1016/j.rser.2013.07.007

has been cited by the following article:

• TITLE: Economic Benefits of Energy Efficiency to the Petroleum Refineries in Ghana: A Case of Tema Oil Refinery (TOR)

  AUTHORS: David Ayo, Jones Lewis Arthur, Kwadwo Adinkrah-Appiah

  KEYWORDS: Efficiency, Refinery, Petroleum, Economic Benefit, Recovery, Production Cost

  JOURNAL NAME: Open Journal of Energy Efficiency, Vol.10 No.4, November 19, 2021

  ABSTRACT: This study investigates the economic benefits of energy efficiency to petroleum refineries regarding Tema Oil Refinery (TOR), Ghana. The study explores lessons relating to the cost of production, energy recovery levels and economic fortunes of the refinery activities and designs a conceptual framework for improving the energy efficiency of Tema Oil Refinery (TOR). The study adopted a descriptive design using a quantitative approach to provide a statistical background to investigate the economic benefits of energy efficiency. A sample of 84 was adopted for study from a staff population of 520 working at Tema Oil refinery. In addition to primary data, secondary data on energy supply and consumption values from 2008 to 2019 was gathered. For the primary survey, 84 respondents were sampled from TOR and a structured questionnaire was used to retrieve information. A correlation analysis at P