A MACHINE LEARNING-BASED ELECTRICITY CONSUMPTION FORECAST AND MANAGEMENT SYSTEM FOR RENEWABLE ENERGY COMMUNITIES

A Machine Learning-Based Electricity Consumption Forecast and Management System for Renewable Energy Communities

The energy sector is currently undergoing a significant shift, driven by the growing integration of click here renewable energy sources and the decentralization of electricity markets, which are now extending into local communities.This transformation highlights the pivotal role of prosumers within these markets, and as a result, the concept of Ren

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A Refinery Production Scheduling Model with Operation Mode Transition Based on Variable Driven Modelling Approach

Operation mode is widely used in a refinery production process, bringing great convenience to its daily operations.However, the refinery scheduling model with operation mode makes the scheduling model become large and thus difficult to solve.In this article, we present a new refinery teal horse blanket scheduling model based on Variable Driven Mode

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Phylogenetic relationships of sleeper gobies (Eleotridae: Gobiiformes: Gobioidei), with comments on the position of the miniature genus Microphilypnus

Abstract Microphilypnus and Leptophilypnion are miniaturized genera within the family Eleotridae.The evolutionary relationships among these taxa are still poorly understood, and molecular analyses are restricted to mitochondrial genes, which have not been conclusive.We compiled both mitochondrial and nuclear genes to study the phylogenetic position

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