Multi-criteria evaluation and optimization of a novel thermodynamic cycle based on a wind farm, Kalina cycle and storage system: An effort to improve efficiency and sustainability

A new Frontier in electric load forecasting: The LSV/MOPA model optimized by modified orca predation algorithm

“…The Support Vector Regression (SVR) algorithm possesses multiple parameters that can be adjusted to enhance its overall performance [ 11 ]. The aforementioned items encompass:…”

Energy demand forecasting using convolutional neural network and modified war strategy optimization algorithm

“…Predicting electrical consumption is a challenging subject that necessitates the evaluation of enormous quantities of data as well as the application of powerful machine learning algorithms. Since its capacity to recognize temporal and spatial trends in data, convolutional neural networks (CNNs) have emerged as a viable option for electricity demand prediction [ 22 ]. Nevertheless, developing an effective CNN framework for electricity prediction is a difficult process since various aspects, such as the number of layers, the size of the filters, and the activation functions utilized in each layer, must be carefully considered [ 23 ].…”

Modified artificial neural network based on developed snake optimization algorithm for short-term price prediction

“…For example, the variable nature of the instantaneous output of wind units affects the price of electricity in the market [ 19 ]. Therefore, taking into account the effect of wind farm production in determining the market settlement point in areas where the influence of these power plants is high has been considered to be very important [ 20 ].…”