Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics DOI Creative Commons
Pavel Ilyushin, Boris Papkov, А. Л. Куликов

et al.

Algorithms, Journal Year: 2025, Volume and Issue: 18(1), P. 49 - 49

Published: Jan. 16, 2025

Power consumption management is crucial to maintaining the reliable operation of power grids, especially in context decarbonization electric industry. Managing industrial enterprises by personnel proved ineffective, which required development and implementation automatic energy systems. Optimization behavior requires comprehensive information on parameters technological processes an enterprise. The paper explores specific features non-stationary conditions output production assesses potential for under these conditions. analysis modes was carried out based consideration random factors determined both internal external circumstances, subject fulfillment plan. This made it possible increase efficiency mechanical engineering taking into account uncertainty seasonal fluctuations 15–20%, study presents a justification utilizing theory level-crossings enhance reliability input information. need analyze probabilistic structure functions proven. justified because becomes fulfill plan with productivity and, accordingly, consumption, exceeds nominal values more than 5%. In addition, emission characteristics are clear, easy measure, allow transition from analog digital presentation. algorithm methods developed patterns can be used develop

Language: Английский

Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics DOI Creative Commons
Pavel Ilyushin, Boris Papkov, А. Л. Куликов

et al.

Algorithms, Journal Year: 2025, Volume and Issue: 18(1), P. 49 - 49

Published: Jan. 16, 2025

Power consumption management is crucial to maintaining the reliable operation of power grids, especially in context decarbonization electric industry. Managing industrial enterprises by personnel proved ineffective, which required development and implementation automatic energy systems. Optimization behavior requires comprehensive information on parameters technological processes an enterprise. The paper explores specific features non-stationary conditions output production assesses potential for under these conditions. analysis modes was carried out based consideration random factors determined both internal external circumstances, subject fulfillment plan. This made it possible increase efficiency mechanical engineering taking into account uncertainty seasonal fluctuations 15–20%, study presents a justification utilizing theory level-crossings enhance reliability input information. need analyze probabilistic structure functions proven. justified because becomes fulfill plan with productivity and, accordingly, consumption, exceeds nominal values more than 5%. In addition, emission characteristics are clear, easy measure, allow transition from analog digital presentation. algorithm methods developed patterns can be used develop

Language: Английский

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