Accurate short-term load forecasting is of great significance to the safe and stable operation power systems development market. Most existing studies apply deep learning models make predictions considering only one feature or temporal relationship in time series. Therefore, obtain an accurate reliable prediction result, a hybrid model combining dual-stage attention mechanism (DA), crisscross g...

The Egyptian jackal (Canis aureus lupaster) has hitherto been considered a large, rare subspecies of the golden jackal (C. aureus). It has maintained its taxonomical status to date, despite studies demonstrating morphological similarities to the grey wolf (C. lupus). We have analyzed 2055 bp of mitochondrial DNA from C. a. lupaster and investigated the similarity to C. aureus and C. lupus. Thro...

To improve the performance of vehicle suspension, this paper proposes a semi-active suspension with magnetorheological fluid (MRF) damper. We designed an optimized fuzzy skyhook controller grey wolf optimizer (GWO) algorithm base on new neuro-inverse model MRF Because inverse damper is difficult to establish directly, Elman neural network was applied. The novelty study application for vibration...

Interpretation of the genetic composition and taxonomic history of wolves in the western Great Lakes region (WGLR) of the United States has long been debated and has become more important to their conservation given the recent changes in their status under the Endangered Species Act. Currently, the two competing hypotheses on WGLR wolves are that they resulted from hybridization between (i) gre...

Abstract A combined prediction model based on long short-term memory neural network (LSTM) and convolutional (CNN) is proposed in order to increase the accuracy of load. To address issue that gray wolf optimization (GWO) search process prone falling into local optimum. An improved grey algorithm (IGWO) update convergence factor using lower incomplete gamma function improve global performance. T...