@article{MAKHILLJEAS2018132117075,
    title = {Electrical Load Estimation Based on Fuzzy Logic},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {21},
    pages = {9078-9087},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.9078.9087},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.9078.9087},
    author = {Hussein,Abdullah and},
    keywords = {Fuzzy logic,membership function,Fuzzy Inference System (FIS),parameters,temperature,humidity},
    abstract = {The daily electrical load estimation is an essential mission of any power system. This procedure is
necessary for system obligation, economical distribution of generation and maintenance time of electrical
networks. In this study, we propose an electrical load estimation method using fuzzy inference system that
gives more accurate results for the estimated loads. Also, it can serve the electrical power system generation
that depend on some important parameters. These electrical loads parameters including temperature, humidity
and speed of the wind are applied as inputs to the fuzzy logic system to obtain eventually the estimated load
as output by utilizing suitable membership functions.}
    }