Asset Management
Customers can define assets as many as they want and get the forecasts for each asset. Various models are trained and best fitting model is found for each asset. Assets can be clustered and forecasts are also produced for the cluster itself.
Availability Management
Customers can define time periods to scale down or manually enter the forecasts of the assets for maintenance or holidays.
Day-ahead Forecasting
Forecasts are auto-generated for day-ahead (48 hours) electricity loading.
Best Model Selection
Asset data periodically is trained and best model is found between various AI, Machine Learning and Statistical Models.
Sharing Forecasts
Produced forecasts can be retrieved via API which V-Forecast supplies for each asset. Forecasts can also be sent to customers via e-mail, FTP, FTPS or SFTP.
Sharing Configuration
Produced forecasts can be timed for each asset. Customers can decide when to get an email or a file for their assets.
V-Sensor Integration
V-Forecast has built-in integration with V-Sensor. Customer can easily map V-Sensor Assets to V-Forecast assets. So that asset historical data can be updated with live inputs coming from V-Sensor. Asset historical data will always be up to date. Customers don’t have to upload excels all the time.
Automated Meter Reading Systems Integration
V-Forecast has built-in integration with various AMR systems and it expands day by day. If asset is a meter, meter data can be retrieved from AMR systems to get actualized data and save it for future load forecasts.
Automated Data Gathering
Through V-Sensor and AMR integrations, actualized load data automatically and continually retrieved and used in training and forecasting load.
Elektrik Bakım Müdürü/Enerji Yöneticisi
NG Kütahya Seramik Porselen Turizm A.Ş.
Elektrik Bakım Müdürü/Enerji Yöneticisi
NG Kütahya Seramik Porselen Turizm A.Ş.