Solar Power Generation
Solar Power Generation Forecasting Solution
QR AI Forecaster offers robust ready-for-use, advanced AI forecasting solutions for intraday, and up to 7 days ahead, leveraging all weather data indicators
Clients’ profile. Generation companies, utilities, electric co-ops and munis, retail marketeers, and transmission entities operating in real-time intraday and day-ahead (5-60 mins resolution) markets.
Target. Solar generation is becoming an ever increasing component of generation portfolios and its intermittent nature is forcing all stakeholders to seek accurate and robust generation forecasts. E.g., utilities need to plan their sourcing portfolio. In light of these shortcomings in solar generation, system and transmission operators need to maintain system stability in terms of voltage and frequency, and maintain grid stability by planning for reserves.
Implement real-time 24/7 automated, stand-alone and accurate solar 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.
Why QR Solar Generation Forecaster Solution
We offer optimized, ready-for-use, short-term solar generation AI models. Our methodology is exclusively AI (Deep Learning, or Machine Learning) driven and uses granular historic production and weather data as key inputs.
QR AI solution is a web system delivered in browsers. No development, specialized hardware or middleware are needed. All you need is a browser. Your forecast models are configured quickly and you go live.
The resolution of solar generation forecasts can go down to 1 minute, for as long of a horizon as there are corresponding weather forecasts, which is typically a few hours ahead, thereafter the forecast can have an hourly resolution.
The frequency of these forecasts can be 5 to 60 minutes, as soon as new weather or generation level data become available, 24/7.
How it works. We fetch your solar plant's RTD & meter, and weather data in real-time. We perform generation forecasting and publish results via API or manual file download.
QR Solar Forecaster Benefits & Features
We offer flexible delivery options:
a) Data Service where our expert team and platform do everything and you receive, via API and electronic means, intraday and DA solar generation forecasts every 5 minutes, 24/7.
b) Software as a Service (SaaS) where we implement QR AI platform on a private cloud of your choosing, or on-site, and you control the data and the AI models.
You pay one single annual subscription fee comprising license, maintenance and upgrade releases.
Our expert (MSc and PhD) AI and data science teams, configure, fine-tune and deploy your solar generation forecast models in record time and help you maintain and calibrate them as data behavior changes.
QR AI Forecaster is a no-coding AI platform that allows users to drag, drop and combine various AI and Machine Learning methods in a user-friendly dashboard to create their own custom forecast models. The AI platform offers Deep Learning (Long Short Term Memory Networks (LSTM), 1D/2D Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Gated Recurrent Unit (GRU); Machine Learning models, e.g., XGBoost, ADABoost, Random Forest and Catboost.
To ensure the highest degree of accuracy and stability, AI model optimization is automated with specialized built-in tool-boxes that considerably lessen the need and workload of data scientists and analysts.
QR Solar Generation Forecaster is purely an AI machine. For modeling, it uses granular weather data indicators and the historic production and availability data of the asset. The only exogenous variable is the weather. The complex relationship of all other endogenous factors are uncovered by the Machine Learning model via the historic production data, and need no actual modeling. These are for example, the physical characteristics of the assets, rotations, design, location, installation features, the gradual photovoltaic changes in time, etc.
QR Data Manager is seamlessly integrated to provide end-to-end data management (fetching, validation, insertion) for world ISOs & RTOs, multiple weather data services, meter and SCADA data. The methods supported are web-scraping, web services, API, FTP, or manual upload for csv, Excel, XML, Json file formats. Data fetching from APIs and csv files, validation, insertion, in a modern data hub), and availability, for the required inputs e.g., weather indicators, the solar asset availability and outages, ISO and meter data.
Each forecast can have upper and lower uncertainty bands computed via quantiles or standard deviation.
QR AI Trading Optimization is seamlessly integrated to use the generation forecasts as inputs of various trading optimization models suitable for your operations. Alternatively, the solar generation forecasts can be exported via API, in any desired format, to any in-house system.
To reduce project risk you can start with a Proof of Concept (POC) or trial period. The fee is scaled to the implementation efforts needed by the POC. Contact us for more details.