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The charge of the electron is considered negative by convention. The negative charge of an ion is equal and opposite to charged proton s considered positive by convention. The net charge of an ion is non-zero due to its total number of electrons being unequal to its total number of protons. A cation is a positively charged ion with fewer electrons than protons while an anion is negatively charged with more electrons than protons, because of their opposite electric charges; cations and anions attract each other and readily form ionic compounds. Ions consisting of only a single atom are termed atomic or monatomic ions , while two or more atoms form molecular ions or polyatomic ions. In the case of physical ionization in a fluid gas or liquid , "ion pairs" are created by spontaneous molecule collisions, where each generated pair consists of a free electron and a positive ion. This term was introduced after a suggestion by the English polymath William Whewell [3] by English physicist and chemist Michael Faraday in for the then-unknown species that goes from one electrode to the other through an aqueous medium. This conveys matter from one place to the other. characteristics of electricity.

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Use of this web site signifies your agreement to the terms and conditions. Electricity Consumer Characteristics Identification: A Federated Learning Approach Abstract: Nowadays, smart meters are deployed in millions of residential households to gain significant insights from fine-grained characteristics of electricity consumption data. The information extracted from smart meter data enables utilities to identify the socio-demographic characteristics of electricity consumers and then offer them diversified services.

Traditionally, this task is implemented in a centralized manner with the assumption that utilities have access to all the smart meter data.

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However, smart meter data are measured and owned by different retailers in the retail market who may not be willing to share their data. To this end, a distributed electricity consumer characteristics identification method is proposed based on federated learning, which can preserve the privacy of retailers. Specifically, privacy-perseverance principal component analysis PCA is exploited to extract features from smart meter data. Characteristics of electricity this basis, an artificial neural network is trained in a federated manner with three weighted averaging strategies to bridge between smart meter data and the socio-demographic characteristics of consumers.

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Case studies on the Irish Commission for Energy Regulation CER dataset verify that the proposed federated method has comparable performance with the centralized model on both balanced and unbalanced datasets. Article :. Date of Publication: 17 March Need Help?]

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