This project investigates the application of Particle Swarm Optimization (PSO) to minimize the mismatch between renewable energy generation and consumption by optimizing energy storage utilization.
Abstract: A latent factor analysis (LFA) model can be efficiently built via the stochastic gradient descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated by various ...
ABSTRACT: This paper investigates the combination of the sliding mode control (SMC) and standard extended state observer (SESO) methods for estimating the states of a Photovoltaic system associated ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback