Abstract With the development of energy Internet, integrated network electricity-gas interconnection has become an important research object optimization. To improve absorption capacity and utilization efficiency renewable in a regional network, comprehensive multi-objective optimization model containing power to gas (P2G) is proposed this paper. The considers two objectives pollutant emission ...

The insurance industry is based on risk calculations, high profits, and detailed information. predictive models that companies utilize allow to make accurate decisions about the sector. This research focuses improving accuracy of predicting customers Property Casualty (P&C) insurance. In this study, a reliable quantitative analytical big data method has been developed, Hybrid Grey Wolf Whal...

Keywords Wolves, genome-wide phylogeny, canid evolution.. CC-BY-NC-ND 4.0 International license not peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was. Abstract Here we present the first genomic data for the African wolf (Canis aureus lupaster) and conclusively demonstrate that it is a unique taxon and not a hybrid between other c...

This paper proposes a novel approach called the Harris’s Hawk Multi-Objective Optimizer (HHMO), which is used for solving reference point multi-objective problems. This algorithm is based on the grey wolf multi-objective optimization algorithm and motivated by the cooperative hunting behaviors of the Harris’s Hawk. These hawks are known as the wolf pack of the sky. The hunting party consists of...

In this article, a multi-objective planning is demonstrated for reactive power compensation in radial distribution networks with wind generation via unified power quality conditioner (UPQC). UPQC model, based on phase angle control (PAC), is used. In presented method, optimal locating of UPQC-PAC is done by simultaneous minimizing of objective functions such as: grid power loss, percentage of n...