ENHANCING SMART GRID LOAD FORECASTING: AN ATTENTION-BASED DEEP LEARNING MODEL INTEGRATED WITH FEDERATED LEARNING AND XAI FOR SECURITY AND INTERPRETABILITY

Smart grid is a transformative advancement that modernized the traditional power system for effective electricity management, and involves optimized energy distribution by load forecasting.Precise load forecasting provides the best utilization of energy resources and increases sustainability.Dynamic changes of several connected factors, such as tem

Purpose: We compared the outcomes of percutaneous transthoracic needle aspiration biopsy (PCNA) of lung Pouf masses in cases with and without prior positron emission tomography/computed tomography (PET/CT) information, and investigated the factors associated with false-negative pathological results.Materials and Methods: From a total of 291 patient

Over the past twenty years, research on textile has received increasing attention in archaeology worldwide, providing new insights into one of the most important crafts in human history.In contrast, activities Bracket related to spinning and weaving in the Late Neolithic settlements in the Central Balkans have only be treated with cursory attention

In this work, we assessed the possible relation of ionospheric perturbations observed by Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions (DEMETER), Global Positioning System total electron content (GPS TEC), National Oceanic and Atmospheric Administration (NOAA)-derived outgoing longwave-Earth radiation (OLR), and atmosp