## 3 Results  
An algorithm was designed to analyze the current state of the technological process and the power consumption behavior. It takes into account the specific features of the process and assesses all intermediate and resulting indicators, including technical and economic damage. The algorithm block diagram is shown in Figure 4.  
To illustrate the work of the algorithm (Figure 4), an assembly shop of one of the enterprises of the machine-building industry that fulfills an order during the time \(t_{pl}\), taken as 100%, was selected. 1. By the time of control \(t\), 65% of the planned production volume with power consumption \((B_{pl}\,\,,\,W_{pl}\,t)\) should have been produced. 2. The actual process state (as measured by sensors and electricity meters) by control time \(t\) corresponds to an output of 50% \((B_{t},W_{t})\). 3. The remaining amount of work to fulfill the output plan with the corresponding electricity consumption is determined to be 50%. 4. Actual deviations from the plan on output and power consumption \(\Delta B_{t}\),\(\Delta W_{t}\) amounted to 15%. 5. It is required to increase the speed of the technological process, compared to the planned (calculated), to complete the task of production in the established time for a time equal to 35% of the total time of work \(\left(t_{pl}-t\right)\). 6. If there are no restrictions on the amount of power consumption, then by increasing the speed of the technological process by 43% at the time interval \(\left(t_{pl}-t\right)\), provided that all the technological regulations are observed, the plan for production output can be fulfilled by the time \(t_{pl}-t\). 7. If at the time interval \(\left(t_{pl}-t\right)\), there are failures of technological or electrical equipment in the power supply system, disruptions in the receipt of raw materials and components, as well as there is a deficit of active capacity in the power system, it is necessary to assess the probability of transition to a mode with increased speed of the technological process. According to retrospective statistical data for the enterprise under consideration and on the basis of the probability multiplication theorem for independent events \(p(\Delta B_{t})=p(\Delta W_{t})\leq 0.04\). * If technological regulations allow the maximum speed of the technological process (due to the introduction of reserve equipment) to exceed the nominal one by 80%, then the minimum time \(t_{\min}\) required to fulfill the plan for production output by the time \(t_{pl}\) will be 56% of \(t_{pl}\). * Based on this, it is possible to calculate the maximum time of possible delay in the start of production \((0\div t_{0})\), which for the considered enterprise will amount to 44% of \(t_{pl}\) at the nominal speed of the technological process. The issues of techno-economic evaluation of damage from deviations in the technological process and power consumption were not considered in this study. Figure 4: Block diagram of the algorithm for analyzing the current state of technological process and power consumption behavior. The initial data used in developing the algorithm (Figure 4) included information received from process state sensors, an automated system for monitoring power quality indicators and electricity meters, as well as technical and economic information, and the results of expert assessments. Implementation of the algorithm presented in Figure 4 in the automatic power consumption management system facilitates monitoring of current deviations \(\pm\Delta B_{t},\ \pm\Delta W_{t}\), along with the corresponding techno-economic assessment of damage, in any stage of the production process. Deviations can be local (process line, workshop) or system-wide (industrial enterprise). The information gathered allows for making informed decisions regarding power consumption management, changes in the speed of output production, introduction of additional reserves, and switching the equipment to another operating mode.