## 1 Introduction  
The decarbonization of the global electric power industry is progressing in phases, driven by the widespread development of power plants that utilize renewable energy sources (RES) [1, 2, 3]. The largest share of commissioned renewable energy generation capacity comes from the wind and solar sectors [4]. In countries with the necessary volume of hydro resources, hydropower development continues through the construction and commissioning of new hydroelectric power plants and pumped-storage power plants. The unit installed capacity of hydroelectric power plants is constantly increasing, making a significant contribution to the balance of electricity in the power systems [5, 6]. In the context of the stochastic production of electricity by wind and solar power plants, it is necessary to maintain a balance between active power production and consumption within energy systems [7, 8]. This can be achieved by increasing the maneuverability of generation equipment of conventional power plants, integrating energy storage systems, and managing the electricity consumption in industrial enterprises [9, 10, 11]. It is important to note that the reliability indicators of equipment used in wind and solar power plants have a significant impact on the reliability of the energy systems. In [12], it is noted that photovoltaic modules in solar power plants in moderate climates begin to fail en masse after about 10-12 years due to exposure to dust, high humidity, vibration, and other factors. Failures of photovoltaic modules often cause damage to multi-string inverters, which reduces the reliability indicators of solar power plants. Power consumption management is highly effective because it facilitates a quick restoration of active power balance in the power grid by disconnecting less critical power loads at industrial enterprises [13, 14]. However, it is essential to take account of the specifics of technological processes, as changes in the power consumption of consumers involved in a continuous production process can lead to product defects, accompanied by substantial losses [15, 16]. The advancement of digital technologies changes the principles of interaction between electricity producers, such as power plants and generation companies, and industrial enterprises. This process is enabled by the adoption of modern measuring, communication, and information and computing systems, alongside data collection, transmission, and processing systems [17, 18]. Modern power supply systems leverage cutting-edge technologies, such as cyber-physical devices, the Internet of Things, artificial intelligence, robotics, and augmented and virtual reality [19, 20, 21]. Intelligentization of the electric power industry requires vast amounts of data, which, when processed, create a qualitatively new information framework for the development and implementation of automatic power consumption management systems [22, 23]. The digitalization of the electric power industry requires a revision of existing approaches and models for planning, forecasting, and managing electricity consumption, as well as ensuring the reliability and economic efficiency of industrial consumers. All these factors have a direct impact on the technological process and overall product output [24, 25]. An analysis of human-induced impacts, including cyberattacks, on power industry facilities reveals that levels of electricity consumption and its structure can vary dramatically, exhibiting both increases and decreases [26, 27]. Fluctuations in electricity consumption are also possible in cases where fulfilling the production plan is a priority. Administrative and market mechanisms currently used to manage electricity consumption prove ineffective in today's landscape, while new management algorithms have yet to be adequately developed and tested [28, 29]. These conditions justify the need to develop modern methods of planning, forecasting, and optimization of power consumption behavior as well as algorithms for managing power consumption of industrial consumers.