With the electricity timetable planning program, users can conveniently build existing calculation methods at the data source and connection level using a graphical modeler. In addition to new model construction, there is the option to apply built-in modeling procedures. The program performs the necessary analyses, forecasts, and provides results to users in 15-minute or longer intervals based on the built model.
During electricity timetable planning, users face numerous challenges because consumption data can come in different formats, resolutions, and from different sources, including various databases, spreadsheets, or real-time meters. Besides different formats, it’s essential to meet challenges as forecast-affected data may need to be generated according to the modeling with minute-by-minute frequency in tabular or other editable formats. In the case of forecasting models, both the data sources and the factors affecting the model’s results can continuously change in time and quantity. For example, newly discovered relationships during modeling can indicate how various variables affect future electricity consumption. Here, the forecasting model needs to handle not only weather data but also known industry-specific and future variables. The system dynamically manages factors affecting consumption, providing opportunities for refining predictions. With the system, users themselves become capable of refining, modifying, and correcting schedule data and handling new parameters to be discovered in the future. The forecasting model can handle thousands of variables and end-users.
Key Features
- User-developable, parameterizable interface significantly reducing vendor dependency.
- Dynamically customizable data visualization widgets, dashboards, reports without programming needs.
- Built-in plug-ins for multi-data sources (SQL, ORACLE, OPC).
- Plug-ins for multi-meter and sub-meter utilities (MBus, ModBus).
- Extensive data collection with various known real-time meter reading protocols.
- Automated data connection with utility providers for synchronization of quarter-hour data.
- Automated reception and integration of weather forecast and factual data.
- Integration of data from management plans and forecasts into databases.
- Establishing online data connection with real-time consumption meters and sub-meters.
- Analysis and discovery of relationships between collected data.
- Handling of MAVIR xml and provider-specific xml formats.
- Tracking and managing plan and fact statements.
- Ensuring continuous input-side data consistency and credibility checks.
- Capability of generating forecasts with 1-minute data resolution.
- Provision of built-in and creatable new mathematical models with parameterization and development tools for users.
- Ability for users to further develop, expand, modify, and transform created mathematical models without involving developers.
- Handling linear, non-linear regression calculations to determine the correlation of a given factor.
- Providing the possibility of applying other mathematical calculations.
- Automatic management of parameters required for time planning (handling daylight saving time transitions, moving workdays, characteristics specific to the manager).
- Handling of core data of consumption places involved in the model, modification.
- Management of consumption habits of major consumers.