## 2 Materials and Methods
### Multi-Agent Approach
The short-term power consumption forecasting system is designed for use by the following subjects:  
* An expert in power consumption forecasting and energy accounting with expert knowledge in power consumption forecasting;
* A chief engineer making decisions related to the production processes of the compressor station. An expert in power consumption forecasting and energy accounting receives information concerning the schedule of short-term power consumption forecast for enterprises of the gas industry (henceforth--schedule of power consumption forecast), which they can correct in accordance with their knowledge. A chief engineer receives three schedules:  
* Operating schedule of energy-storage systems;
* Schedule of controllable load consumers;
* Operating schedule of self-generation units (henceforth--operating schedule of self-generation). The chief engineer can make expert adjustments to these schedules. Appropriate information models based on the multi-agent approach were developed to model generation, storage, and consumption of power by the compressor station. The information data model used to generate \"Schedule of power consumption forecast\", \"Schedule of controllable load consumers\", and \"Operating schedule of energy storage systems\", as shown in Figure 4. The information model used to generate the \"Operating schedule of self-generation\" is shown in Figure 5. Objects formed by the information system are marked green. Objects from adjacent information systems are marked orange. Users who interact with the system are marked blue. Objects entered by users are shown in white. Arrows between objects indicate the direction of connection: an object where an arrow end is formed based on an object from which it was aimed. The object \"Production plan data\" is necessary for the informational data because, according to the specifics of the production processes, \"Data on gas transportation plan\" have a discretization ranging from one to seven days. Therefore, the object \"Data on gas transportation plan\" can be differently distributed among working days depending on the equipment maintenance schedule. The object \"Production plan data\" is generated by the system of short-term power consumption forecast for the compressor station based on the following objects:  
* \"Production calendar data\";
* \"Data on gas transportation plan\";
* \"Generation equipment data\", which is used to arrange the \"Operating schedule of self-generation\";
* \"Equipment data\", which is used to arrange other schedule objects. The \"Schedule of power consumption forecast\" relates to the following objects:
* \"Data on actual power consumption\";
* \"Weather data\";
* \"Production plan data\";
* \"Expert adjustments to schedule of power consumption forecast\". \"Schedule of controllable load consumers\" is created for the equipment related to controllable load consumers after \"Schedule of power consumption forecast\" is formed. This schedule describes changes made in \"Schedule of power consumption forecast\" depending on the forecast of electricity tariff, forecast of peak load hour, and data on equipment of  
Figure 4: The first information model used to generate “Schedule of power consumption forecast”, “Schedule of controllable load consumers”, and “Operating schedule of energy storage systems”. Figure 5: The second information model used to generate “Operating schedule of self-generation”. controllable load consumers. Hence, the object \"Schedule of controllable load consumers\" relates to the following objects:  
* \"Schedule of power consumption forecast\";
* \"Data on forecast of electricity tariff\";
* \"Equipment data\";
* \"Operating schedule of self-generation\";
* \"Expert adjustments to schedule of controllable load\". The object \"Schedule of controllable load\" is connected to \"Operating schedule of self-generation\" assuming that the distribution of controllable load value is to be determined according not only to electricity tariff but also to operating schedule of self-generation.