This article proposes a fuzzy logic-based energy-management system (FEMS) for a grid-
connected microgrid with renewable energy sources (RESs) and energy storage system …

Accurate load forecasting guarantees the stable and economic operation of power systems.
With the increasing integration of distributed generations and electrical vehicles, the …

A probabilistic prediction interval (PI) model based on variational mode decomposition
(VMD) and a kernel extreme learning machine using the firefly algorithm (FA-KELM) is …

This paper aims to forecast the photovoltaic power, which is beneficial for grid planmng
which aids in anticipating and prediction in the event of a shortage. Forecasting of …

Smart micro-grid (SMG) is a growing segment of the modern power grid. Besides the
benefits brought in terms of improving power reliability, power quality, security, and …

The misrepresentation of honey botanical origin causes serious economic losses for honey
producers and consumers. In this work, a novel remote electronic tongue system was …

Large-scale photovoltaic (PV) power generation has developed rapidly, and its installed
capacity has reached 512 GW worldwide by the end of 2019. The status evaluation for …

Machine learning methods have been used to solve complicated practical problems in
different areas and are becoming increasingly popular today. The purpose of this article is to …

The purpose of this study is to develop a model for predicting the financial performance of
construction companies based on their financial statement data. Several models for …

Children with autism need appropriate educational toys to assist rehabilitation training, so as
to inhibit the development of autism. Toys and related treatments for children with autism can …