Welcome to DRE’s documentation!
Welcome to DRE’s documentation!
Overview
Developing the Hybrid Renewable Energy Forecasting System (HYREF) demonstrator to support simulation and projection services that are part of the DRE digital ecosystem.
With Destination Renewable Energy (DRE) you can forecast and evaluate the potential of renewable energy production based on real-time and historical environmental data. The Destination Renewable Energy (DRE) Service is a digital solution that:
Provides solar and wind resource assessments using historical CAMS data ERA5 reanalysis data for and meteorological parameters such as radiation and wind speed.
Delivers 2-day forecasts for Global Horizontal Irradiance, solar and wind power output based on Digital Twin data.
Integrates user-specific data for tailored simulations of energy systems
DRE enables dynamic visualization of results, including time-series plots and graphs, while ensuring data availability and protection through advanced identity and access management.
Request Access to a DRE
To get a DRE demonstration and use for your area and energy activities:
Just send an email to dre@noa.gr with your request.
Core Functionalities
Solar and Wind Assessment
Overview of the solar radiation and power production assessment interface.
Basic solar data retrieval interface, allowing users to enter coordinates and date range for data extraction.
Advanced solar assessment with detailed inputs including panel tilt, azimuth, tracking type and system capacity for advanced forecasting.
Overview of wind speed and power production analysis.
Basic wind resource assessment tool with location, date range and measurement height for retrieving wind speed data.
Advanced wind assessment form allowing users to input hub height and power curve model to generate turbine-specific production estimates.
Solar and Wind Forecasting
Overview of the forecasting dashboard.
Interface for generating a one-time solar forecast using historical data, including geolocation inputs and template-based CSV upload.
Solar Park Specifications form used in one-time solar forecast, allowing manual entry of system parameters like tilt, azimuth, tracking and capacity.
Annual forecasting interface for solar data, using uploaded irradiance and production CSV files to train machine learning models.
Alternative annual solar forecast form using site configuration data like tilt, tracking type and system capacity for prediction without uploads.
Wind forecast dashboard.
One-time wind forecast tool for uploading site-specific wind data, entering turbine specs and submitting a CSV template for model training.
Wind forecast form for users preferring predefined turbine specs; allows quick input using power curve model, hub height and system capacity.
Annual wind forecast training interface using user-provided wind data and turbine specs for continuous machine learning-based prediction.
Annual wind forecast using predefined turbine specifications, suitable for year-round forecasting without needing historical wind data.
Archive of Requests
The archive dashboard provides a centralized interface to view, manage and filter all assessment and forecast jobs. Users can track job status, copy request IDs, view parameters, download results and launch visualizations.