Short-term demand forecasting is crucial for the operations of planning and scheduling of an electricity power generation. Since short-term load patterns are non-linear, approaches such as neural network, fuzzy system and genetic algorithms are proven more effective. Neural …
CITATION STYLE
P., L., & Author, V. S. F. E. (2018). Fuzzy Logic based Short-Term Electricity Demand Forecast. International Journal of Engineering and Technology, 10(2), 529–534. https://doi.org/10.21817/ijet/2018/v10i2/181002064
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