Solar energy is considered to be one of the most potential alternative energy resources
because of its free, pollution-free and abundant reserves. However, fluctuating and …

Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …

With the increasing penetration of renewable energy and flexible loads in smart grids, a
more complicated power system with high uncertainty is gradually formed, which brings …

To address the issue of significant unpredictability and intermittent nature of renewable
energy sources, particularly wind and solar power, this paper introduces a novel …

Demand-side energy management techniques, such as load shielding, shifting, and
delaying appliance operation during peak periods, are typically used to reduce electricity …

Abstract As stated in Sustainable Development Goals number 6 and 13, clean water and
sanitation and energy-related carbon emissions as climate action issues have emerged as …

Effective detection of fault in rolling bearings with a limited amount of data is essential for the
safe operation of electric machines. This article proposes a novel meta-learning-enabled …

Reverse osmosis is the leading technology for desalination of brackish water and seawater,
important for solving the growing problems of fresh water supply. Thermal technologies such …

As an essential development direction of energy internet, integrated energy system with
interdisciplinary techniques is of great significance to promote multi-energy cooperation …

This study examines the energetic and economic feasibility of a new hybrid renewable
biomass-solar-wind energy system for driving both cascaded adsorption-compression …