Nov 14, 2024 ¡¤ This study suggests numerous approaches for long-term load forecasting using smart-metered data from an actual distribution system on the NIT Patna campus.

Nov 21, 2024 ¡¤ In short term load forecasting, the aim is to estimate the load for the next half hour up to the next two weeks.

8 days ago ¡¤ To evaluate the predictive model's accuracy and robustness, various configurations were applied by altering the buildings' dimensions and functions. This ...

Nov 28, 2024 ¡¤ Polynomial regression algorithms predict the dependent variable by exponentially transforming the independent variables as indicated in Eq. (4) [62], [63]. (4)

Nov 29, 2024 ¡¤ This paper developed a predictive model for determining the condition of voltage in a power system based on the network topology behavior as input formulation.

Nov 12, 2024 ¡¤ The NYISO is working on developing an enhanced load adjustment methodology reflecting seasonal peak load forecasts and annual energy demand, model-based ...

Nov 26, 2024 ¡¤ In this paper, six different machine learning methods were applied to the case dataset of GHG emissions in Turkey, namely multivariable linear regression, ...

Nov 27, 2024 ¡¤ This approach, adapting a Tikhonov regularization to our parametric regression, allows prediction building on the polynomial model function. To this end, we ...

3 days ago ¡¤ Forecast is implemented with polynomial curve fitting algorithm to estimate subsequent representation weights for the subsequent temperature movement with ...

Nov 11, 2024 ¡¤ ANNs learn to approximate complex nonlinear functions and make accurate predictions by iteratively adjusting the weights of connections via a process called ...