QR AI Solar & Wind Generation Forecaster
QR AI Solar & Wind Generation Forecaster offers robust advanced AI forecasting solutions for intraday, and up to 7 days ahead, leveraging all weather, wind and radiance data indicators.
Challenges in Creating and Deploying AI Solar & Wind Generation Forecast Solutions
Clients’ profile. Generators, utilities, retail marketers, power traders, local energy communities, grid operators and investment firms operating in real-time intraday and day-ahead (5-60 mins resolution) energy and reserve markets.
Targets:
- Solar and wind generation are becoming increasing components of supply and generation portfolios. Their intermittent and stochastic nature is forcing all stakeholders to seek accurate and robust generation forecasts.
- Utilities and electric co-ops need to plan and hedge their sourcing portfolio in light of behind-meter solar generation.
- Renewable generators need to decide their bidding strategies in DA and intraday markets.
- Local energy communities need consumer load and PV generation to organize energy trading in their local distribution network.
- System and transmission operators have to maintain grid stability in terms of voltage, frequency, and plan for reserves.
- Implement real-time 24/7 automated, stand-alone, and accurate solar and wind generation forecast solutions, as a web cloud solution that can be easily integrated with in-house planning and trading systems, ISO, grid, weather data services, and internal data sources.
Solar Generation AI Forecasting Service
Operational solar farms can provide their historical generation data via API or in batch mode and receive intraday and day-ahead (DA) solar generation forecasts delivered through APIs and interactive web dashboards.
The platform combines AI forecasting models with automated weather and irradiance data integration to produce high-resolution generation forecasts. Forecasts are customized to individual solar assets, portfolios, or utility-scale solar fleets.
- QR AI Solar Generation Forecaster is a purely data-driven AI solution that uses granular solar generation data as the forecast target, and weather and radiance data as predictors.
- The data analytics and feature extraction module builds and extracts deep features for AI modeling from optimal combinations of various weather and radiance indicators, DNI (Diffused Normal Irradiance), DHI (Diffused Horizontal Irradiance) and GHI (Global Horizontal Irradiance).
- We can license weather and radiance data from a range of vendors, and/or you can provide your own.
- To achieve greater accuracy, we forecast solar generation per single farm with pinpoint precision radiance data. We can then aggregate these forecasts across larger portfolios of solar assets.
- Estimation and forecasting of behind-the-meter distributed energy resources, including PV generation, EV charging, and the resulting net load profiles, tailored for load-serving entities (LSEs), utilities and microgrid renewable energy communities.
- Due to the uncertainty of weather and radiance data QR AI Solar Generation Forecaster can also produce probabilistic solar generation forecasts with average, high and low forecasts at any desired percentile, e.g., 5 and 95, 10 and 90, 15 and 85, etc. For example, the 5 or 95 percentiles can be used to estimate lower generation scenarios for risk management in planning and hedging.
- Our data science team will closely work with you to configure the optimal AI model for your solar assets.
Solar Generation Estimation Service
When planning the development or expansion of a solar farm, simply provide the asset’s latitude, longitude, and installed capacity (MW). Our PV generation model will estimate the asset’s effective monthly capacity, capacity factors, and hourly solar generation profile, taking into account local irradiance, weather patterns, seasonality, and historical climate conditions.
The service supports greenfield project assessment, capacity expansion studies, energy yield estimation, and long-term generation forecasting. Results are delivered through APIs and interactive web dashboards, enabling rapid evaluation of project economics, grid integration, and energy trading opportunities.
This demonstration computes estimates of effective seasonal PV generation for specific installed capacity across sample U.S. regions, accounting for local irradiance, weather, and seasonal effects. The same analysis can be provided for your specific project location.
Wind Generation AI Forecasting Service
Operational wind farms can provide their historical generation data via API or in batch mode and receive intraday and day-ahead (DA) wind generation forecasts delivered through APIs and interactive web dashboards.
The platform combines AI forecasting models with automated weather data integration to produce high-resolution generation forecasts. Forecasts are customized to individual wind farms.
- QR AI Wind Generation Forecaster is a purely data-driven AI solution that uses granular and aggregate wind power generation data as the forecast target, and weather and wind components as predictors.
- The data analytics and feature extraction module build and extract deep features for AI modeling from optimal combinations of various weather and wind indicators such as air pressure, speed, gust, and direction.
- We can license weather and wind data from a range of vendors, and/or you can provide your own.
- By nature, wind power generation is intermittent, stochastic and varies constantly. QR AI Wind Generation Forecaster produces probabilistic wind generation forecasts with average, high, and low forecasts at any desired percentile, e.g., 5 and 95, 10 and 90, 15 and 85, etc. The 5 or 95 percentiles can be used to estimate worst-case scenarios for planning and hedging.
- Wind farms stretch over extended areas with varying geospatial wind data on one hand, and turbine generation rates on the other hand. To handle these geospatial and temporal data disparities, the data processing and feature extraction module provides functionalities to average, scale and further aggregate and modify wind and generation data across extended areas, as well as segmenting the wind farms into groupings that are more amenable to generation modeling.
- Our data science team will closely work with you to configure the optimal AI model for your wind assets.
AI Renewables Forecasting Advanced Ecosystem
- Microservice architecture enables accelerated custom configuration of AI solar & wind generation forecast solutions.
- API-friendly ecosystem allows flexible integration and data exchange with third-party & in-house generation and weather data systems. Functionalities are constantly enhanced and extended to meet clients requirements.
QR AI Solar & Wind Generation Forecaster Features
- QR AI Renewable Forecaster offers a range of specially configured Deep and Machine Learning solar and wind generation models.
- Intraday and DA solar and wind generation forecasts at 5–60 minutes resolution, depending on your data and requirements.
- QR AI Renewable Forecaster can scale data while forecasting from lower to higher resolution, e.g., from actual 5-min generation data, it can forecast at 5, 15, 30 or 60 minutes resolution.
- Due to the uncertainty of weather, wind and radiance data we produce probabilistic renewable generation forecasts with average, high, and low forecasts at any desired percentile, e.g., 5 and 95, 10 and 90, 20 and 80, etc.
- Forecast results are published via API or in web dashboards with data visualization and manual download options.
- The solution is fully automated and fetches your solar and wind generation, weather, wind and solar radiance data.
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Advanced AI Solar & Wind Generation Forecasting Technology
On-screen drag & drop feature engineering adding weather & radiance time series.
AI Load Forecasting Solutions and Services Benefits
- You can always start with a free POC trial.
- Two flexible delivery options:
- Forecast as a Service (FaaS). Our AI platform and expert team do everything, and you receive, via API and in web dashboards, intraday and DA forecasts every 5–10 minutes, 24/7. No software installation, hardware, or IT resources are needed.
- Software as a Service (SaaS) where we implement QR AI Forecaster on a private cloud of your choosing, or on-site, and you control the data & of the AI models.
- Cost-effective pricing. Whether you use QR AI Forecaster as FaaS or SaaS, you pay one single annual subscription fee. The fee comprises the license, maintenance, and upgrade releases.
- Ready-to-use platform. We offer a large number of preconfigured Deep & Machine Learning models especially designed for solar & wind generation forecasting. These can be instantly trained on any data set of interest.
- Expert support team. Creating and maintaining forecast solutions in-house, using generic AI tools, requires extensive use of data scientists. When working with QuantRisk our data scientists configure, fine-tune and deploy your forecast models and maintain them over time as data behavior changes.
- Forecast results are published via API and in web dashboards with data visualization and manual download options.
How to Proceed
Whether we install QR Solar & Wind Generation Forecaster on your private cloud or on-site, or you use it as a service, the road map to follow is the same. You can always start with a free POC trial. Our team is here to assist and work with you every step of the way.
