Next-generation Trading Platform For Utilities And LSEs That Minimizes Energy Sourcing Costs By Integrating Advanced AI Load Forecasting With High-performance Portfolio Trading Optimization
A modular cloud ecosystem designed to meet the challenges faced by utilities and load-serving entities (LSEs), managing seamlessly their energy portfolios while adapting to the accelerated shift to renewables in global electricity markets.
The solutions offers robust data management, AI load forecasting, and integrated energy sourcing trading optimization to minimize energy costs.
Overcoming Complex Challenges Faced by Load Serving Entities (LSEs)
Advanced AI Forecasting and Trading Optimization Algorithms
Advanced algorithms optimize buy-sell decisions and scheduling across a utility’s callable contracts, minimizing energy sourcing costs while effectively managing risk.
Real-time Automation of Data to AI Forecast Pipeline
LSE & Utilities Sourcing Trading Advanced Ecosystem
- Microservice architecture enables accelerated custom configuration of various segments of power sourcing portfolio trading.
- API-friendly ecosystem allows flexible integration and data exchange with third party & in-house load systems. Functionalities are constantly enhanced and extended to meet clients requirements.
QR AI Forecaster empowers utilities, municipal providers, and load-serving entities with automated and advanced probabilistic AI forecasting of load (bottom-up and top-down), PV generation and spot prices.
Forecasts are delivered through APIs and modern web dashboards with powerful visualization and reporting tools to drive smarter decision-making in real-time.
QR AI Forecaster
QR AI Forecaster offers the widest range of automated advanced AI forecasting models and solutions for electricity markets.
Overall AI Forecast Features:
- Real-time intraday AI forecasts are executed and produce revised forecasts every 15, 30 or 60 minutes, 24/7.
- 1-7 DA AI forecasts are executed once a day.
- Forecasts’ temporal resolution or granularity can be from 5-60 min.
- The AI engine can forecast load at resolutions different from the input data. For example, using 5-minute meter data, it can generate forecasts at 5, 15, 30, or 60-minute intervals. Conversely, it can produce hourly load forecasts when only monthly meter readings are available
- All AI forecasts are probabilistic and produce uncertainty bands from 0 to 100 percentile.
- Real-time intraday, 1-7 DA, monthly and decades long AI load forecasting models.
- Load forecasting can be performed at the individual consumer level or based on flexible segmentation and aggregation rules, such as by geolocation or consumer type, for example, single-family or multifamily with air conditioning or space heating, as well as offices, malls, commercial, or industrial sectors
- AI forecasting of load net of behind the meter rooftop PV generation.
- Bottom-up & top-down AI load forecasting toolbox.
- Extreme scenario load forecast toolbox, e.g., weather ± 10 degrees, population growth by 12 %, etc.
- Weather and econometric data are provided.
Real-time and DA nodal price and reserve AI forecasts, including Locational Marginal Price (LMP), zonal or trading hubs in ISOs, RTOs and world electricity markets and exchanges.
AI Solar Generation & Net-Load Forecasting
Intraday and 7-day ahead AI forecasting of rooftop PV generation, EV charging, energy consumption and net-load. The AI engine scales efficiently by aggregating PV and meter data across homes in same neighborhoods to reduce the number of forecasts, then applies reverse transformation methods to derive individual home-level PV and net-load forecasts. Applications to microgrids and energy communities.
Load forecast dashboards, showing data, reports and model interface.
On screen drag & drop probabilistic AI load forecast modeling.
Bottom up load forecasting model: aggregating load pre-forecasting and making a single forecast.
Bottom up load forecasting model: forecasting individual load drivers and aggregating load post-forecast.
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Interactive live dashboards showing data, reports and model interface.
User dashboard showing forecasts in plots and tables with data exporting.
Interactive live dashboards. Showing data, reports and model interface.
Consumers’ PV generation and net load forecasting, and user dashboard.
QR Trading Optimizer enables utilities, munis, and load-serving entities to minimize energy sourcing costs, maximize profits, and mitigate risk amid the uncertainty and volatility of energy markets during the transition to renewables.
Forecasts are delivered through APIs and modern web dashboards with powerful visualization and reporting tools to drive smarter decision-making in real-time.
QR Energy Sourcing Portfolio Trading Optimizer
- Utilities and LSEs source their energy through a portfolio of callable financial and physical bilateral contracts and a spot market.
- QR Trading Optimizer minimizes the total energy sourcing cost of utilities and LSEs by dynamically adjusting for every (5 – 60 minutes) trading period, the scheduling or nomination quantities across the callable and bilateral sourcing contracts, along with the corresponding buy-sell of the imbalance in the spot market, while meeting demand, contractual and regulatory constraints.
- This solution optimizes energy sourcing in demand response programs.
- The solution is automatically executed 24/7, for intraday and DA trading, as well as long-term planning.
Energy sourcing portfolio trading optimization to minimize total energy cost.
We offer a suite of solutions to automate, optimize, and digitize the energy trading workflow of utilities and LSEs.
QR DataHub is a robust cloud data management platform for meter and trading data, supporting data integration and API.
QR ETRM is a lightweight, highly flexible, cloud-based solution that delivers trading, back-office settlement services for physical and financial transactions in global energy markets. Both solutions feature seamless API connectivity along with modern web dashboards and reporting.
Both solutions feature seamless API connectivity along with modern web dashboards and reporting.
QR ETRM: Trading, Risk, Back-Office, Settlement and Billing
QR Back Office is a scalable microservice delivering a range of services:
- Data validator (meter and price data management, validation, uploading).
- Rate calculator, settlement, bill calculator.
- Automated electricity, gas and multi-energy settlement with configurable workflow.
- Comprehensive wholesale and retail power and gas transaction settlement and billing.
- Configurable back-office workflow and lifecycle management.
- Seamless connectivity with data sources: meter, prices, exchanges and ISOs.
- Flexible API based integration with your in-house ERP, billing and accounting systems.
QR DataHub
- QR Datahub is specifically designed to address the unique data challenges faced by energy market participants, utilities and LSEs. It enables seamless integration of data from legacy in-house systems and diverse third-party sources.
- Built on modern data architectures and technologies, the platform efficiently manages big data, streamlines data pipelines, and provides intuitive web-based management tools.
- Preconfigured data templates make it easy for utilities to work with all types of energy data at any resolution, including consumer meter readings, PV generation, weather data, market prices (system, nodal, LMP, real-time, and day-ahead), trades, settlements, billing, and more.
QR Data Hub for World Power Markets
AI Load Forecasting & Trading Optimization Benefits for Utilities and Load Serving Entities
- You can always start with a POC Trial for consumer load forecasting or sourcing portfolio optimization to determine how much we can improve your P&L.
- Two flexible delivery options. Our utility and LSEs solutions are offered as annual subscription services, providing flexibility and convenience. They can be delivered from our cloud servers as a service, with outputs such as load forecasts and optimal trading schedules accessible via API and intuitive web dashboards—no software installation, hardware, or IT resources required. Alternatively, our solutions can be implemented on a private cloud of your choice or on-site, giving you full control over the environment. In both delivery models, a single annual subscription fee covers the license, maintenance, and upgrade releases.
- Ready-to use platform. We offer a range of pre-trained and ready for action AI forecasting models, and energy sourcing trading algorithms that can be used on any utility or load serving entity trading portfolio at once.
- Expert team. Our expert teams work closely with clients to customize and deliver tailored solutions with unmatched efficiency. Whether it’s AI load forecasting, sourcing portfolio optimization, or back-office billing, we ensure fast and effective implementation in record time.