V-Forecast is a software solution for forecasting of electricity load. The solution is a self-learning and self-calibrating system. It is based on AI, Machine Learning, Statistical Models and historical load data to automatically produce accurate electricity load forecasts. V-Forecast automatically detects seasonality and can apply multi-seasonality based on the historical load data. It is powerful & accurate, yet easy-to-use and quick to implement. It can be up and running in hours or even minutes.
What are the Advantages of V-Forecast?
With Asset Management, customers can define as many assets as they want and receive forecasts for each asset, various models are trained and the most appropriate model is determined. With Availability Management, customers can define time periods such as maintenance or holidays and enter asset forecasts manually. Day-ahead Forecasting automatically generates 48-hour forecasts for electricity load. With Best Model Selection, asset data is periodically trained and the most appropriate model is selected from artificial intelligence, machine learning and statistical models. With Forecast Sharing, forecasts for each asset can be retrieved via API or sent to customers via email, FTP, FTPS or SFTP. With Sharing Configuration, forecasts can be scheduled for each asset, clients can specify times to receive emails or files. With V-Sensor Integration, V-Sensor assets can be easily mapped to V-Forecast assets and asset history data can be continuously updated. With Automated Meter Reading Systems Integration, if the asset is a meter, the data performed can be retrieved and stored for future load forecasts. With Automatic Data Collection, load data realized with V-Sensor and AMR integrations is continuously retrieved and used in forecasts.
Features
Properties Management
Management of Exceptional Times
Day-Ahead Forecast
Previous Period Forecast
Forecast Result Sharing
Integration of V-Sensor
Completion of Lacking Datas
Best Model Choice
Key Benefits
- Automatic and Accurate Forecasts
- Increased Safety
- Easy Installation and Operation
- Low Maintenance Cost
V-Forecast automatically generates electrical load forecasts using artificial intelligence, machine learning and statistical models, providing customers with accurate and reliable forecasts.
V-Forecast predicts electricity load with accurate forecasts, it increases customers' security of electricity supply and minimizes outages.
V-Forecast can be installed and used quickly. It can be easily operated with its user-friendly interface without complex adjustments or lengthy training.
V-Forecast ensures low maintenance costs by keeping customer intervention and interaction to a minimum. With automatic data collection and model updates, customers do not need to constantly monitor the system.
How it Works?
V-Forecast is a software solution for electricity load forecasting. This solution automatically generates accurate electrical load forecasts based on artificial intelligence, machine learning, statistical models and historical load data. The system has the ability to self-learn and self-calibrate. V-Forecast automatically detects seasonality and can apply multiple seasonality based on historical load data. Besides being powerful and accurate, it is easy and fast to use. It can be up and running in hours or even minutes. Customers can define as many assets as they want and get forecasts for each asset. Various models are trained and the most appropriate model is found for each asset. Assets can be clustered and forecasts for the cluster can also be generated. Customers can specify time periods, such as maintenance or vacation, and manually enter forecasts for assets. Forecasts for day-ahead (48 hours) electricity load are automatically generated. Asset data is periodically trained and the best model is found among various AI, machine learning and statistical models.
Who Is It For?
F.A.Q
V-Forecast needs historical electricity load data. Customers must provide electricity consumption data from previous years.
V-Forecast can be installed in a few hours or even minutes. With a simple installation process, it can be commissioned quickly.
V-Forecast provides high accuracy rates using artificial intelligence, machine learning and statistical models. Generally, the accuracy of forecasts depends on the quality of the customer’s data and the models used.
V-Forecast is trained with continuously updated data and takes customers’ feedback into account. Furthermore, reliability is ensured by using various model selection and validation techniques.
V-Forecast makes forecasts available via API and can be shared through different channels such as email, FTP, FTPS or SFTP according to clients’ preferences.
V-Forecast can be easily integrated. Customers can integrate different data sources such as V-Sensor and automatic meter reading systems.
The cost of V-Forecast depends on user needs and the scope of the application. Generally, it is an economical solution with low installation and maintenance costs. Customers evaluate the costs by considering the benefits the service will provide.