Titlebook: Electric Consumption by Industrial Enterprises; Modeling, Rationing Ikromjon U. Rakhmonov,Vasiliy Ya. Ushakov,Alexey V Book 2024 The Edito

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書(shū)目名稱Electric Consumption by Industrial Enterprises影響因子(影響力)




書(shū)目名稱Electric Consumption by Industrial Enterprises影響因子(影響力)學(xué)科排名




書(shū)目名稱Electric Consumption by Industrial Enterprises網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Electric Consumption by Industrial Enterprises網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Electric Consumption by Industrial Enterprises被引頻次




書(shū)目名稱Electric Consumption by Industrial Enterprises被引頻次學(xué)科排名




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書(shū)目名稱Electric Consumption by Industrial Enterprises年度引用學(xué)科排名




書(shū)目名稱Electric Consumption by Industrial Enterprises讀者反饋




書(shū)目名稱Electric Consumption by Industrial Enterprises讀者反饋學(xué)科排名

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Volatile-Oils

Classification of Industrial Enterprises and Technological Equipment,n sectors of industrial production, industrial enterprises are divided into ten basic groups. The classification differentiates between industrial enterprises with continuous and discrete manufacturing cycles, as well as the equipment used in the technological process, which is categorized based on

同位素

Changes in Energy Parameters Over Time,ased on multi-year data. The peculiarities of the technological processes at these enterprises are described, and the main patterns of (EPC) by these businesses are determined. In the process of analyzing the dynamics of electrical loads, the main problems in managing (EPC) under conditions of varia

好色

Analysis of Energy Indicators,llow for a comprehensive analysis of these indicators. In light of this, the monograph provides a detailed description of the methodology for analyzing energy indicators based on decomposition, as proposed by the authors of the monograph. This complex task is resolved in a simpler manner by dividing

Projection

Differentiated and Consolidated Specific Norms of Electrical Power Consumption,al production). An approximate composition of the norms for electricity consumption by industrial enterprises is given. Consolidated and differentiated standards are described, and the relevance of their application is justified. Methods for determining differentiated and consolidated energy consump

Projection

Forecasting Electrical Power Consumption,accuracy of forecast indicators, prediction models utilizing artificial neural network methodology are developed. The advantages and disadvantages of various estimation methods are analyzed; corresponding algorithms and software products for this purpose are proposed.

demote

Reserves of Energy Saving and Improvement of the Energy Efficiency,nomic efficiency of measures to realize it. ES and IEE measures are classified. A methodology is proposed for assessing the impact of technological and organizational factors on energy production indicators, which allows their justified inclusion in the reserve for saving energy resources.

BLOT

Ways to Reduce Electric Energy Consumption,ecting criteria for the optimality of energy indicators in energy-intensive units and units of mass use. The main directions for reducing specific electrical power consumption (SEPC) acceptable for enterprises in practically all industrial sectors are analyzed.

Neonatal