AVIEW | Hourly is a tool that performs daily and weekly electricity demand forecast on an hourly basis by using various models. It has been developed after a serious scientific work and years of experience on signal processing and artificial intelligence.
It models electricity demand on hourly basis in daily and weekly periods for a selected distribution region, country-wide and for eligible consumers. Fuzzy logic, neural networks and other statistical methods are used in models and it gives flexibility to the users to choose the best model. Therefore, it supports the decision making process of the users according to historical performance of the model.
AVIEW | HOURLY enables the staff who performs daily demand forecast to reach the required data from a single source and decreases demand forecast error rate. The software provides required analysis to be performed on the data through its analysis features that uses various statistical methods and through its tailor-made reporting tool.
AVIEW | HOURLY works integrated with third-party data providers such as EDW3000 System and PMUM, along with automated meter reading (AMR) systems, analyzers and also with the State Meteorological Service (DMI) and the Central Bank of Turkish Republic and extracts the required data for demand forecast automatically. Thus, AVIEW | HOURLY constitutes an advantage for the users in minimizing the manual data entry to the system and the management of daily operations.
The systems with which AVIEW | HOURLY is integrated are listed below:
- EDW3000 System
- PMUM and DGPYS Web Services
- Foreign Meteorological Service Providers or DMI
- Corporate ERP and CRM systems
- Abone.Net, Alternatif, SAP-ISU and Oracle
- AMR and analyzer systems and software
- Accounting programs
- TEIAS Load Dispatch Reports
- TUIK databases
Beside its integrations to the abovementioned systems, AVIEW | HOURLY provides the required flexibility to meet the requests of the users through its user-friendly interface and technical infrastructure. Since AVIEW | HOURLY is a web based software and access to the software from the smart phones is also possible the daily operations can be conducted easily.