Energy Load, Price & Renewable AI Forecasting Solutions & Services
- ISO zonal, Trading Hub, nodal / LMP prices.
- Consumer load, ISO regional & Trading Hub load.
- Intraday, 7 DA & long-term 5-60 mins forecast resolution.
- Forecast frequency every 5 -10 mins, 24/7.
- Upper and lower uncertainty forecast bands.
QR AI Forecaster offers a wide range of ready-for-use, advanced load, price and solar generation AI forecasting solutions that are tailored for intraday, up to 7 days ahead, and long term power markets
Forecast as a Service is a cloud web service offering load, price, generation and renewables (5-60 min) forecasts as a web service for world ISOs. No implementation required, Receive forecasts instantly via API.
explore QR AI Forecaster solutions
The solution computes intraday, day-ahead and long-term forecasts with 5-60 mins resolution. Forecast frequency is every 5-10 mins, 24/7. Upper and lower uncertainty forecast bands.
Cost effective solution. You pay one single annual subscription license fee whether used as a service or implemented on the cloud or on-site.
Next-generation universal AI platform designed for the most stringent requirements of load, demand, price (energy and reserves) and solar & renewable generation forecasting in all electricity markets.
No-coding AI platform allowing users to drag and drop and combine various Deep Learning AI and Machine Learning methods to create their own custom forecast models. The data flow and parameters of each AI model are configured on the screen in a user-friendly dashboard, without coding.
AutoML forecasting platform. AI models can typically have 20+ parameters, and identifying the best combination by trial and error is very time-consuming. QR AI Model Optimization toolbox automatically tries the equivalent of 100,000+ models to identify the best model for each data set by selecting the combination of model parameters and predictors that minimizes the forecast error using genetic computing. This considerably shortens implementation and maintenance efforts.
Build, fine-tune, optimize and deploy AI forecast models and set them for automatic execution in record time.
QR Data Hub is a no-coding data warehouse platform that can be quickly configured to fetch, cleans, insert and manage clients’ data. QR Data Hub offers many tools to manipulate data, e.g., roll load data from 5 min to 15, 30 and 60 min resolutions, or aggregates load data by any desired criteria, e.g., total utility load or retail consumption, before passing the data to the AI machine for forecasting.
The following chain is executed automatically 24/7 and each step triggers the next: data fetching and insertion from various sources (ISOs, RTOs, meter, SCADA, weather, etc.), training and execution of AI models, and publication of the forecast results via API.
Flexible delivery options. Forecast as a Data Service where our platform does everything, and you receive the forecasts every 5-10 minutes 24/7. Software as a Service implemented on a private cloud or on-site. The cloud solution requires no software installation, hardware and IT resources, all you need is just a browser.
Leverage our automated platform & expert team. The AI models self-calibrate, learn & adapt with each new data. Our data science team regularly fine tunes and optimizes your AI models.
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.
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Explore a full range of price and load Forecast as a Service solutions
Data Service where our expert team and AI platform do everything, and you receive, via API and electronic means, intraday and DA forecasts every 5-10 minutes 24/7.
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 & the AI models.
QR AI Forecaster is a universal AI platform whose state-of-the-art architecture allows the creation of very precise load, price (energy and reserves) and solar generation forecasts.The underlying AI and machine learning engines can be configured with different parameters and predictor data frames to create different types of forecast models. AI models self-calibrate, learn and adapt as new data arrive, before any execution.
Model Optimization. AI forecasts are notoriously sensitive to model fine-tuning to select the best set of parameters and predictors. Leaving this to manual adjustments leads to a myriad of instabilities and poor forecast quality. QR AI Platform offers built-in toolboxes that automate the optimization of AI models, increase efficiency while leaving nothing to chance.
Ready-for-use on day one. No development of specialized hardware or middleware is needed. Your forecast models are configured quickly and you go live. QR AI solution is a web system delivered in browsers. All you need is a browser. We offer numerous premade forecast templates, accuracy analysis reports and dashboards to accelerate the pace and lower the cost of implementation.
QR AI Trading Optimization is seamlessly integrated to use the forecasts as inputs of various trading optimization models suitable for your operations. Alternatively, the forecasts can be exported via API, in any desired format, to any in-house trading system. The modern microservice architecture allows instant scaling of your AI forecasting models to match your business requirements as they evolve.
AI Load & Price Forecast Case Studies
QR AI Forecaster Methodology
QR AI Forecaster is a universal forecasting platform that is agnostic to specific usage, and offers vast configuration capabilities for any type of forecasting. This no-coding AI platform allows users to drag, drop and connect various AI and Machine Learning methods, sequentially or in parallel, in a user-friendly dashboard to create their own custom forecast model.
Deep Learning models from Keras library are available: Long Short Term Memory Networks (LSTM), 1D/2D Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Gated Recurrent Unit (GRU).
Machine Learning ensemble models are highly efficient, flexible and portable. The following distributed gradient boosting libraries are available: XGBoost, Random Forest, Catboost, ADABoost and LightGBM.
Single Models: MLP (neural networks), decision tree, SVM, KNN and ElasticNet.
The algorithms are designed to perform regression (forecast), classification and clustering. These can be simultaneously put together to create hybrid AI models for specific tasks. E.g., we have created a hybrid model that can be trained to learn trading ancillaries, by deciding with high degree of accuracy, whether or not to participate in a DA reserve market versus the energy market.
To ensure the highest degree of accuracy and stability, model optimization is automated with 3 specialized built-in tool-boxes, QR Feature Extractor, QR AI Back-tester and QR AI Model Fine-tuner. These considerably lessen the need and workload of data scientists and analysts.
The platform execution time is in the order of minutes to produce intraday and day ahead forecasts. Computing lower resolution forecasts, e.g., 10 minutes, takes longer than higher resolution, e.g., hourly.
All data is managed (fetched, inserted, validated, stored) by our modern datahub using Apache NIFI and Timescale DB.
All data is distributed via a flexible Spring Boot API microservice. This allows real-time data integration with reporting and your internal systems, e.g., trading optimization.
High-performance computing and microservice architectures achieve unparalleled scalable performance.
Technologies used in QR AI Platform: Python Django, SciPy, NumPy, Pandas, Keras, Tensorflow, Java Spring Boot, NGINX, Tomcat, PostgreSQL, Apache NiFi, Angular, Grafana, Dramatiq, Highcharts.