Our short-term load forecasting system is a smart software product for predicting electricity demand in your region based-on weather forecast condition. It is a complex hybrid forecasting system including combination of dynamic weather forecasting models and Artificial Intelligence.
If you are looking for advance, user-friendly, accurate and smart load forecast system, this is the right product for you. This system runs dynamic weather prediction and artificial intelligence models which predict hourly electricity demand in advance and sends events to decision makers immediately.
RadPardaz´s short-term load forecasting system is unique, guaranteeing the highest degree of efficiency and accuracy. Our STLF system include highly reliable forecasts for energy demand adapted to the needs of the energy market for the short-term horizons. The system has a web-based user interface and is available as a product and as a service. RadPardaz supplies a great number of Iranian markets with energy demand forecasting, and its goal is to cater all Middle east and Asian markets. Our system has satisfied the necessities of all actors involved in the European energy market, specifically Transmission System Operator, distributors and electricity companies.
Connect to your existing real load consumption datasets
Predict weather condition using dynamic models
Hourly electricity demand forecasting for the next 24 to 168 hours
Detects peak demand events and sends alerts
Necessary tool for demand-side management and resource planning
Highly accurate in predicting hourly pattern and value of electricity demand
A fully interactive experience through a web-based dashboard
A self-modifying and adaptive load forecasting model
Preprocessing and adjustment of real load consumption data based-on historical behavior
Including a powerful feature selection tool to generate proper features
A complex but easy-to-use platform to import and export weather and load data
Complete dataset of future weather forecast using dynamic weather forecasting models
Import data, request forecast and extract data on weather and load forecast through a web-based user interface