Leading Authority in Electricity Price Forecasting Services
We provide highly accurate, advanced AI cloud forecasting services for real-time and DA energy and reserve nodal prices at 5–60 minute intervals across U.S. RTOs/ISOs, European power exchanges, and global electricity markets. Zero deployment enables instant access to forecasts through web dashboards and APIs
AI cloud forecast services for real-time and DA energy & reserve nodal prices (5–60 min intervals) across US RTOs & ISOs, EU power exchanges and world markets. Zero deployment. Access forecasts instantly in web dashboards and APIs
QR AI Forecasting Services deliver comprehensive ready-to-use AI forecasting solutions for load, energy & reserve prices, solar and wind generation. AI models are tailored for real-time, DA and long-term world power markets
Cutting-edge AI Power Forecasting & Trading Optimization Ecosystem
- Advanced microservice architecture streamlines and automates the entire data processing and AI modeling pipeline, enabling the rapid creation, testing and deployment of targeted machine learning forecasting and trading optimization solutions that deliver measurable profitability improvements.
- Enterprise Integration: API-friendly ecosystem supports flexible integration and data exchange with third-party & in-house ETRM, trading and scheduling systems.
- Market-Ready Adaptability: Scalable microservices continuously evolve to support complex nodal power markets, asset constraints, and trading strategies.
Partner with Cutting-Edge Power Market AI & Trading Optimization Solutions
Deliver measurable bottom-line gains across global energy markets with targeted AI forecasting and algorithmic trading optimization. Engineered for renewable operators, BESS, thermal and hydro generators, LSEs, utilities, energy retailers, and power marketers, our solutions maximize asset profitability while mitigating market risk.
- Probabilistic Market Forecasts: Intraday real-time, Day-Ahead (DA), 14-day, and long-term forecasts delivered at 5–60 minute resolutions for load, LMP/nodal prices, and renewable generation.
- BESS Stochastic Co-Optimization: Optimize battery storage charging, discharging, and bidding strategies simultaneously across intraday and day-ahead energy and reserve markets.
- No-Code Auto-ML Platform: Ready-to-use cloud services accessed instantly via interactive web dashboards or RESTful APIs.
- Flexible Deployment: Available as data stream via API, or as private cloud instances, or secure on-premise installations. Free trials are available.
AI Load & Demand Forecast
Top-down & bottom-up short- to long-term demand. Retailers & utilities net / load from individual meters to system demand.
AI Price Forecast
Real-time and DA probabilistic price forecasts, 5-60 minute resolution. Nodal, LMP & trading hub energy & reserve prices for US RTO/ISOs, European & world power markets.
AI DER Solar & Wind Forecast
Intraday short- to long-term solar and wind generation at the farm level, and behind-the-meter customer segmentation for PV, BESS, EV.
Leading-Edge AI Energy & Reserve Spot and DA Price Forecasting Service
Comprehensive AI forecasting services for energy and reserve prices across U.S. RTOs/ISOs, European power exchanges, and global electricity markets. Zero implementation required, receive AI price forecasts instantly via automated API data streams and interactive web dashboards.
DAM Energy Price Forecasts
- US ISO / RTO: 60 TH LMP
- Europe: 15 SMP
- Asia: 8 Price Areas
Updates: 6 a.m, 9 a.m. & on-demand
RTD (5, 15, 60 Min) Energy Price Forecasts
- US ISO / RTO: 92 TH LMP
- Europe: 15 SMP
- Asia: 12 Price Areas
Updates: Every 5, 15 and 60 mins
DA Reserve Price Forecasts
- US ISO / RTO: 22 AS_Price
- Europe: 15 aFRR Price
- Asia: 2 Ancillary Price
Updates: 6 a.m, 9 a.m. & on-demand
RTD (5, 15, 60 Min) Reserve Price Forecasts
- US ISO / RTO: 20 AS_Price
- Europe: 15 aFRR Price
- Asia: 6 Ancillary Price
Updates: Every 5, 15 and 60 mins
Leverage Interactive AI Price Forecasting & Analytics Dashboards
QR AMPS (AI Market Prediction System) is a universal, market-agnostic AI price forecasting platform engineered to operate seamlessly across global power markets. We showcase live, interactive AI dashboard functionality for major U.S. ISO/RTOs (CAISO, PJM, ERCOT, MISO, SPP, NYISO, ISO-NE) and European energy markets (including Germany). Each dashboard can be fully customized around your specific pricing nodes, trading hubs, and regional product requirements. The dashboard displays intraday real-time (RTD) and day-ahead (DAM) 5- to 60-minute probabilistic price forecasts in interactive tables and charts, complete with built-in accuracy metric gauges including MAPE, MAE, RMSE, and Directional Win Rate.
Cutting-edge AI Demand Forecasting Solutions
AI modeling of demand components including distributed energy resources (DER), electric vehicles (EV), behind-the-meter photovoltaics (BTM PV), cooling degree hours (CDH), and heating degree hours (HDH).
Leverage Interactive AI Demand Forecasting & Analytics Dashboards
QR ALPS (AI Load Prediction System) is a universal, market-agnostic AI demand platform engineered to operate seamlessly across global power markets, regardless of regional market rules, settlement intervals, or grid topologies. The platform adapts instantly to local grid structures, regulatory frameworks, and telemetry data. The features, interactive dashboards, analytics, and multi-market adaptability below are showcased using CAISO regional demand TAC data as a representative use case.
CAISO TAC Probabilistic Demand Forecasting & Visual Analytics
QR ALPS (AI Load Prediction System) advanced AI architecture generates hourly probabilistic load forecasts across CAISO Transmission Access Charge (TAC) areas, at customizable confidence levels (P5, P50, P95) to explicitly quantify demand risk for grid operators and market participants. The platform automatically aggregates segment-level probabilistic forecast bands into regional net load shapes, displaying predictions directly alongside published actual demands. Built-in KPI engines calculate continuous accuracy metrics, including Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE), while interactive time-series charts provide dynamic zooming, range-scrolling, and granular inspection capabilities.
CAISO TAC AI Load Forecasting & Structural Component Decomposition
QR ALPS (AI Load Prediction System) proprietary mathematical load model decomposes observable CAISO net demand into five core structural components: temperature-independent baseload, cooling-driven demand (CDH), heating-driven demand (HDH), EV charging, and unmetered behind-the-meter (BTM) solar PV generation. Calibrated using hybrid statistical and AI algorithms on recent seasonal data, these structural parameters are superimposed onto baseline AI forecasts. This framework allows grid planners and analysts to apply structural shocks to individual demand drivers for advanced scenario modeling and stress testing. Interactive dashboards visually stack these underlying vectors to display gross versus net load profiles while offering full drill-down capabilities into localized Transmission Access Charge (TAC) areas.
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Next Generation Battery Storage Trading Co-optimization Solutions
QR BOSS delivers comprehensive multi-market BESS trading and valuation co-optimization services for energy and reserve prices across U.S. RTOs/ISOs, European power exchanges, and global electricity markets. The ecosystem also encompasses thermal and hydro assets.
BESS Bidding Optimization
Maximize the trading profit or the value of a BESS by co-optimizing jointly in energy and reserve markets, charging vs discharging decisions, and bidding. Stochastic co-optimization maximizes profit while minimizing risk (VaR, CVaR), under 1000s of probabilistic price forecasts. BESS constraints are matched.
Thermal Generation Bidding Optimization
Maximize the trading profit of a thermal asset by co-optimizing participation & bidding in energy and reserve markets. Stochastic co-optimization maximizes profit while minimizing risk (VaR, CVaR), under 1000s of probabilistic price forecasts. Constraints, ramps, and contractual obligations are met.
LSE Sourcing Portfolio Optimization
Minimize the total energy sourcing cost of load serving entities or energy retailers in intraday and DA energy trading, by optimizing the scheduling of callable physical and financial bilateral contracts vs buy-sell in a bilateral or power market / ISO energy market.
Hydro Assets Bidding Optimization
For hydro and pumped storage assets, co-optimize stochastically the release and generation, or pump-up strategy, across 1000s of intraday and day-ahead energy and reserve price forecasts to maximize profit while minimizing CVaR risk. Hydro constraints & contractual obligations are met.
