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@article{155666,
        author = {Rashmi Sharma and Dr. H.R Kamath},
        title = {LOAD FORECASTING FOR DEMAND SIDE MANAGEMENT FOR SMART GRID USING ANN},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1310-1313},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155666},
        abstract = {Load forecasting plays a significant role in the field of power system in many aspects. High Degree of accuracy is required in load forecasting to calculate accurate information related to power generation required to consumers and consumption by consumers take place in electricity markets. Forecasting is beneficial for maintain stability, quality of electricity reached to consumers in reasonable price. As it is very obvious load and demand frequently vary at power station due to many reasons. In this paper for maintaining the power system demand should forecast using ANN. ANN is designed to solve complex problem, it is design to imitate function and structure of the brain. },
        keywords = {ANN(Artificial Neural Network), Load forecasting.},
        month = {},
        }