@article{MAKHILLIJEPE20104125203,
    title = {Potential Impact of Greenhouse Gas Emission Reduction Scheme on Australia’s Electricity Generation Sector},
    journal = {International Journal of Electrical and Power Engineering},
    volume = {4},
    number = {1},
    pages = {1-7},
    year = {2010},
    issn = {1990-7958},
    doi = {ijepe.2010.1.7},
    url = {https://makhillpublications.co/view-article.php?issn=1990-7958&doi=ijepe.2010.1.7},
    author = {Jeff and},
    keywords = {Emission reduction,MRET scheme,RET scheme,artificial neural network,forecasting},
    abstract = {Australia electricity industry is currently operating under Mandatory Renewable Energy Target (MRET) scheme since April 2001 in order to cope with continuous greenhouse gas emission growth. This scheme is designed to increase the application of renewable energy in Australia’ electricity supply. In this study Australia’s generation sector, MRET scheme and RET scheme are discussed with the technique of Artificial Neural Networks (ANN) to forecast the trend of the electricity generation, greenhouse gas emission under MRET scheme, RET scheme and energy saving scenario. Finally, the results of simulation, the challenge for the Australian electricity generation sector, when tackling the issue of greenhouse gas emission reduction discussed in this research.}
    }