AI Electricity Price & Reserves Forecasting API Service Solution
US & Global Power Price Forecasting Powered by QR AMPS (AI Market Prediction System), October 5, 2026
We deliver broader market coverage and higher-resolution 5-minute forecasts than any other vendor
Real-time data harvesting and probabilistic AI forecasting (DAM & RTD) for energy and ancillary reserve prices
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
AI Electricity Intraday Spot & Day-Ahead Market (DAM) Price Forecast as a Service (FaaS)
QR AMPS delivers real-time energy and reserve price forecasts via REST API streams and interactive web dashboards with zero setup required
QR AMPS (AI Market Prediction System) Forecast Services are Tailor-made for Energy Trading, Generation Assets, BESS Optimizers, VPPs & Sourcing Desks:
- Probabilistic Uncertainty Modeling: Rather than relying on a single deterministic curve, QR AMPS generates 99 distinct AI forecasts per interval spanning the 1% to 99% confidence spectrum, giving trading desks, quants, and automated assets granular visibility into price tail risks and volatility distribution.
- Day-Ahead Market (DAM): Provides high-resolution DAM predictions covering US Locational Marginal Prices (LMP) at zonal and trading hub levels (capturing marginal congestion and loss components) alongside European national clearing prices. Forecasts are updated daily during morning market clearing windows (6:00 AM to 9:00 AM local time) at resolutions ranging from 5 to 60 minutes. For example, a 5-minute DAM forecast generates 288 intervals per run; executed 3 times daily across 99 probabilistic bands, QR AMPS delivers 85,536 distinct data points per node/day (288 × 3 × 99).
- Real-Time Intraday (RTD): Engineered specifically for continuous spot market operations, RTD forecasts update every 5, 15, 30, or 60 minutes matching regional US ISO/RTO and European continuous settlement intervals. For example, a 5-minute RTD horizon (288 steps), rolling executions every 5 minutes generate 82,944 intervals per day (288 × 288). When paired with 3 probabilistic bands (P5 Low, P50 Median, P95 High), QR AMPS processes and streams 248,832 AI forecast points per node every 24 hours.
| Market | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|
| Real-time RTD 5-min | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time RTD 15-min | 15-min | 96 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time RTD Hourly * | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 0-100 Percentile Bands |
| DA Spot | Hourly | 3 x 24 | Three times a day | DA | 0-100 Percentile Bands |
| DAM Reserve | Hourly | 3 x 24 | Three times a day | DA | Low (5%), Average (50%), High (95%) |
| Real-time Reserve | 15-min | 96 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
* For Real-time RTD 5 or 15 min markets, the hourly RTD is calculated as the average of the RTD 5 or 15 min time series.
Universal, Market-Agnostic AI Power Price Forecasting Solutions
QR AMPS: A Universal, Market-Agnostic AI Price Forecasting Platform
Engineered to operate seamlessly across global power markets, QR AMPS (AI Market Prediction System) adapts to regional market rules, settlement intervals, and co-optimized energy and ancillary reserve products. Built for energy traders, portfolio managers, and asset optimization teams, it provides the precise price signals needed to maximize margins for Battery Energy Storage Systems (BESS), thermal generation, and hydro assets.
Interactive AI Price Forecasting Dashboard
QR AMPS is an advanced AI platform capable of generating live electricity price forecasts and delivering results through interactive web dashboards. To demonstrate our multi-market adaptability, we showcase live dashboard configurations spanning all U.S. ISO/RTO markets and European power markets (such as Germany). Each dashboard can be fully customized around your specific pricing nodes, hub prices, and regional product requirements.
Each price forecast dashboard provides:
- Real-Time Market (RTM) Price Forecasts: Delivers high-frequency real-time price projections at 5-minute or 15-minute resolutions (depending on ISO market rules). Forecasts are probabilistic, displaying low, medium, and high confidence bands as visual candle bars across tables and interactive plots.
- Day-Ahead Market (DAM) Price Forecasts: Generates Day-Ahead price shapes at 5-minute or hourly settlement granularities. Probabilistic P10, P50, and P90 uncertainty paths are visualized as multi-colored time-series curves alongside tabular data.
- Automated Accuracy Metrics & KPIs: Tracks AI forecast model accuracy by benchmarking 50th percentile (P50) forecasts against actual published settlement prices using standard industry metrics: MAPE, MAE, RMSE, and Win Direction percentages.
- 7-Day Rolling DAM Forecast Versioning: For multi-day planning horizons (1 to 7 DA), users can play back the progressive evolution of Day-Ahead forecasts across the seven prior execution days as a rolling video, quantifying how forecast errors converge as delivery approaches.
- Integrated Market Data Visualizers: Centralizes underlying grid telemetry fetched directly from market operators, including LMP prices, system demand, generation stack mix, renewable solar/wind output, and transmission outages, displayed on dual y-axis interactive charts to reveal market behavior.
Note: Public dashboard previews display forecast data delayed by 24 hours. Real-time, un-delayed operational forecasts require an active user account.
Interactive AI Price Forecast & Analytics Dashboards
QR AMPS: AI Market Prediction System for Global Power Markets
QR AMPS is a universal, market-agnostic AI price forecasting platform with live interactive AI dashboards for US, CAISO, PJM, ERCOT, MISO, SPP, NYISO, and ISO-NE, as well as European power markets. QR AMPS dashboard can be customized for specific LMP nodes, trading hubs, and regional market products.
QR AMPS Interactive AI Dashboard
QR AMPS web dashboard offers extensive visualization and analysis capabilities. Real-time (RT) and day-ahead market (DAM) probabilistic forecasts, at 5–60 minute resolution, are presented through interactive tables and charts, with built-in accuracy metrics including MAPE, MAE, RMSE, and Directional Win Rate, as well as manual data export. The AI dashboard can be customized to reflect clients’ specific LMP nodes, trading hubs, and regional market products.
Full Price forecast dashboards can be viewed
QR AMPS AI Price Forecast Services Cover All U.S. and Global Power Markets
Pre-configured market feature libraries for instant node deployment and custom model backtesting within 24 hours
QR AMPS provides optimized, pre-built feature libraries for every wholesale power market listed below, enabling high-precision AI price forecasting across major trading hubs. These market-ready feature packs can be deployed instantly to any specific pricing node, allowing us to build, validate, and backtest custom AI price models for your targeted locational price within 24 hours.
CAISO (US)
Default Trading Hubs Forecasted
NP15, SP15, ZP26
Individual custom LMP nodes are added within 24 hours.
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time RTD 5-min | LMP & MCE | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time FMM 15-min | LMP & MCE | 15-min | 96 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | LMP & MCE | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | LMP & MCE | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DA Spot (RTD/FMM) | LMP & MCE | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
| Real-time Reserves | REG-UP/REG-DOWN | 15-min | 96 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Reserves | REG-UP/REG-DOWN | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
MISO (US)
Default Trading Hubs Forecasted
TEXAS, ARKANSAS, ILLINOIS, INDIANA, LOUISIANA, MICHIGAN, MINNESOTA, MISSISSIPPI
Individual custom LMP nodes are added within 24 hours.
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 5-min | LMP & MCE | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | LMP & MCE | Hourly | 24 | Every hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | LMP & MCE | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DA Spot Hourly | LMP & MCE | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
| Real-time Reserves | GenRegMCP GenSpinMCP GenSuppMCP StrMcp DemandRegMcp DemandSpinMcp DemandSuppMCP | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Reserves | DEMREGMCP GENREGMCP DEMSPINMCP GENSPINMCP DEMSUPPMCP GENSUPPMCP SERREGMCP | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
ERCOT (US)
Default Trading Hubs Forecasted
BUSAVG, HOUSTON, HUBAVG, NORTH, PAN, SOUTH, WEST
Individual custom LMP nodes are added within 24 hours.
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 5-min | LMP & MCE | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time 15-min | LMP & MCE | 15-min | 96 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | LMP & MCE | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | LMP & MCE | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DA Spot Hourly | LMP & MCE | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
| DAM Reserves | REG-UP/DOWN NSPIN RRS & ECRS | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
PJM (US)
Default Trading Hubs Forecasted
WEST INTERFACE, EASTERN, WESTERN, NEW JERSEY, CHICAGO GEN, CHICAGO, N-ILLINOIS, AEP GEN, AEP-DAYTON, OHIO, DOMINION
Default Load Zone Forecasted
EKPC, AECO, BGE, DPL, JCPL, METED, PECO, PEPCO, PPL, PENELEC, PSEG, OVEC, ATSI, DOM, DUQ, DAY, RECO, APS, AEP, PJM-RTO, COMED, DEOK
Individual custom LMP nodes are added within 24 hours.
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 5-min | LMP & MCE | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | LMP & MCE | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | LMP & MCE | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DA Spot Hourly | LMP & MCE | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
| Real-time Reserves | REG-UP/REG-DOWN | 15-min | 288 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Reserves | REG-UP/DOWN NSPIN RRS & ECRS | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
SPP (US)
Default Trading Hubs Forecasted
SPP NORTH, SPP SOUTH, SPP WEST
Default Utility Transmission Zones Forecasted
KCPL, SECI, OKGE, NPPD
Individual custom LMP nodes are added within 24 hours.
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 5-min | LMP & MCE | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | LMP & MCE | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | LMP & MCE | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DA Spot Hourly | LMP & MCE | Hourly | 3 x 24 x 2 | Three times a day | 2 DA | 1-99 Percentile Bands |
| Real-Time 5-min | REG-UP/REG-DOWN SPIN/SUPP | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Reserves | REG-UP/REG-DOWN SPIN/SUPP | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
NYISO (US)
Default Pricing Zone Forecasted
WEST, GENESEE, CENTRAL, NORTH, MOHAWK VALLEY, CAPITAL, HUDSON VALLEY, MILLWOOD, DUNWOODIE, NEW YORK CITY, LONG ISLAND
Individual custom LMP nodes are added within 24 hours.
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 5-min | LMP & MCE | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | LMP & MCE | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | LMP & MCE | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DA Spot Hourly | LMP & MCE | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
ISO-NE (US)
Default Pricing Zones Forecasted
MAINE, NEW HAMPSHIRE, VERMONT, CONNECTICUT, RHODE ISLAND, SOUTH-EASTERN MASSACHUSETTS, WESTERN/CENTRAL MASSACHUSETTS, NORTH-EASTERN MASSACHUSETTS/BOSTON
Individual custom LMP nodes are added within 24 hours.
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 5-min | LMP & MCE | 5-min | 288 | Every 5-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | LMP & MCE | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | LMP & MCE | Hourly | 3 x 24 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DA Spot Hourly | LMP & MCE | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
EPEX SPOT (Germany)
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 15-min Auction | Marginal Price | 15-min | 96 (S1,S2) 48 (S3) | Three times a day | DA (S1, S2) 12 hours (S3) | Low (5%), Average (50%), High (95%) |
| Real-time 15-min Continuous | Marginal Price | 15-min | 3 x 96 | Three times a day | DA | Low (5%), Average (50%), High (95%) |
| Real-time 30-min Continuous | Marginal Price | 30-min | 3 x 48 | Three times a day | DA | Low (5%), Average (50%), High (95%) |
| Real-time Hourly Continuous | Marginal Price | Hourly | 3 x 24 | Three times a day | DA | Low (5%), Average (50%), High (95%) |
| DAM Energy Hourly | Marginal Price | Hourly | 3 x 24 x 2 | Three times a day | 2 DA | 1-99 Percentile Bands |
| Real-time Reserve 15-min | Balancing Price | 15-min | 96 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Reserve Hourly | Balancing Price | Hourly | 24 | Every hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Reserves aFRR | REG-UP REG-DOWN | 15-min | 3 x 96 x 2 | Three times a day | 2 DA | Low (5%), Average (50%), High (95%) |
OMIE & ESIOS (Spain)
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 15-min Auction | Marginal Price | 15-min | 96 (S1,S2) 48 (S3) | Three times a day | DA (S1, S2) 12 hours (S3) | Low (5%), Average (50%), High (95%) |
| Real-time 15-min Continuous | Marginal Price | 15-min | 97-192 | Every Hour | Current Hour-DA | Low (5%), Average (50%), High (95%) |
| DAM Energy | Marginal Price | 15-min | 3 x 96 x 7 | Three times a day | 7 DA | 1-99 Percentile Bands |
| DAM Reserves (aFRR/mFRR) | Upward Downward BALANCING | 15-min | 3 x 96 x 2 | Three times a day | 2 DA | Low (5%), Average (50%), High (95%) |
EPIAS (Turkey)
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time Hourly | SMP | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | SMP | Hourly | 3 x 24 x 2 | Three times a day | 2 DA | 1-99 Percentile Bands |
| DA Spot Hourly | SMP | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
| DAM Reserves | PFCP SFCP | Hourly | 3 x 24 x 2 | Three times a day | 2 DA | 1-99 Percentile Bands |
JEPX (Japan)
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 30-Min | Average Price | 30-Min | 48 | Every 30-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM Energy | SMP & LMP | 30-min | 3 x 48 x 2 | Three times a day | 2 DA | 1-99 Percentile Bands |
| DA Spot 30-min | Average Price | 30-min | 3 x 48 | Three times a day | DA | 1-99 Percentile Bands |
OPCOM (Romania)
| Market | Data Type | Forecast Resolution | Forecast Points | Update Frequency | Forecast Horizon | Probabilistic Bands |
|---|---|---|---|---|---|---|
| Real-time 15-min | VWAP | Hourly | 96 | Every 15-min | 24 Hours | Low (5%), Average (50%), High (95%) |
| Real-time Hourly | VWAP | Hourly | 24 | Every Hour | 24 Hours | Low (5%), Average (50%), High (95%) |
| DAM | LMP | Hourly | 3 x 24 x 2 | Three times a day | 2 DA | 1-99 Percentile Bands |
| DA Spot Hourly | VWAP | Hourly | 3 x 24 | Three times a day | DA | 1-99 Percentile Bands |
NORD POOL (Finland, Sweden, Denmark, Latvia, Lithuania, Estonia, France, Netherlands, Austria, Belgium, UK, Poland)
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Advanced AI Price Forecast Modeling Technology
QR AMPS is the leading-edge framework for AI electricity price modeling, automating complex end-to-end processing pipelines, including feature analysis, data preprocessing, and model hyperparameter optimization, and saving these blocks as cloud instances for reuse:
- 5-Minute Multi-Resolution Engine: Configures features and models on the fly across 5, 15, 30, and 60-minute market price interval resolutions. Each AI model is saved, trained, and executed at its matching temporal resolution. For example, a single raw market dataset (demand, generation, outages) yields distinct feature sets at 5, 15, and 60-minute intervals to drive DAM or RTD forecasts at their native granularities.
- Temporal Aggregation & Disaggregation: QR AMPS generates forecasts at native resolutions (5–60 minutes) or coarser timeframes via temporal aggregation. When high-resolution 5-minute data exhibits artificial volatility, the AI engine can aggregate data to a lower resolution (e.g., 60 minutes) for training to prevent overfitting, and then disaggregate the resulting price predictions back to the original 5-minute granularity.
- Automated No-Code AI Pipeline enable our data science team to reduce AI model configuration and deployment timelines from months to days. Read more.
- Auto-ML capability optimizes the time-consuming and complex routing of hyperparameter tuning of each AI model.
- Visual Feature Engineering Toolbox: Enables users to visually construct complex pipelines via drag-and-drop parameterized mathematical processors. Users can combine contextual features and external time series (solar/wind generation, outages, system demand) or define features as functions of other variables (e.g., net load = demand / solar generation). Recommender algorithms automatically rank feature relevance and link top predictors to the AI model.
- Data Processing & Quality Engineering: Resolves data quality issues inherent in high-volume, real-time market feeds. The platform automatically handles outlier detection and replacement, gap filling, smoothing, and noise reduction prior to model training. Read more.
- Ready-to-use AI price platform. QR AMPS Provides optimized, pre-built feature libraries for every wholesale power market. Combined with pre-configured AI models, these libraries enable instant setup to build, validate, and backtest custom AI price models for a client’s targeted locational pricing node within 24 hours.
- True Probabilistic Risk Quantification: Replaces single-point estimates with full probability distribution curves (e.g., P5, P10, P50, P90, P95). Gives traders and asset managers exact confidence bounds to quantify tail risk, avoid imbalance charges, and optimize energy and reserve bidding strategies. Read more.
- Enterprise Infrastructure & Flexible Deployment: Engineered as a production-ready cloud architecture for custom model tuning. Delivered via two flexible models:
- Forecast-as-a-Service (FaaS): Instant API streaming and web dashboard access with zero setup friction.
- Software-as-a-Service (SaaS): Dedicated private-cloud or on-premises environment providing full control over training, backtesting, and custom model execution.
- Seamless API & Dashboard Integration: Serves high-precision forecasts directly into downstream trading, scheduling, and ETRM systems via REST APIs (supporting JSON and CSV formats) and interactive dashboards. All required market operator data feeds are automatically fetched, validated, and ingested via QR DataHub.
See QuantRisk Cutting-edge No-Code Auto-ML AI Technology in Action
QR AMPS unique no-code AI platform enables on-screen configuration of probabilistic AI price forecasting models in real-time
QR AMPS dashboard and reporting modules can be provisioned within hours to deliver customized views of data feeds, AI models, price forecasts and accuracy analytics.
Interactive Real-Time Price Forecast Dashboard
Interactive live dashboards showing data, reports and model interface.
Forecast Accuracy & Analytics Suite
User dashboard showing forecasts in plots and tables with data exporting.
See how the QR AMPS no-code AI platform automates feature engineering for wholesale electricity price forecasting. Using our interactive web dashboard, data scientists and quantitative analysts can drag and drop raw features and parameterized mathematical processors to build, test, and deploy complex feature pipelines without writing a single line of code.
Drag & Drop Contextual Feature Engineering
No-coding on-screen contextual, similar points & temporal feature engineering.
No-coding Data Cleansing & Processing Pipeline
No-coding drag & drop feature engineering: outliers, gaps, quantization.
Drag & Drop Feature Engineering Building
No-coding on-screen drag & drop feature engineering adding time series.
Auto-ML Feature Selection: Pipeline & Algorithms
On-screen best feature selection processing using different algorithms.
Discover how the QR AMPS no-code AI platform enables visual, on-screen configuration of probabilistic power price forecast models. Through an intuitive web dashboard, data scientists and quantitative analysts can drag and drop AI model components to interactively assemble, tune, and test complete price forecasting pipelines in real-time, without a single line of code.
Visual No-Code Machine Learning Model Assembly with QR AMPS
Build & deploy machine learning forecast models via on screen drag & drop.
Visual No-Code Deep Learning Model Building with QR AMPS
Build & deploy deep learning forecast models via on screen drag & drop.
FAQ
What delivery options are available for the QR AMPS electricity price forecasting service?
We offer two enterprise deployment options:
- Forecast-as-a-Service (FaaS): Delivers live AI price forecasts via instant REST API streaming and interactive web dashboards. QuantRisk manages all underlying cloud infrastructure for zero-setup deployment.
- Software-as-a-Service (SaaS): Deploys the complete QR AMPS AI platform inside your dedicated private-cloud or on-premises environment, giving your team full control over model training, backtesting, and execution.
In both options, high-precision forecasts feed directly into downstream trading, scheduling, and ETRM systems in JSON or CSV formats, with all wholesale market operator data automatically fetched, validated, and ingested.
What makes QR AMPS a "no-code" AI price forecasting platform?
Traditional AI electricity price modeling requires continuous coding to clean raw data, calculate complex feature ratios (e.g., net load), and configure non-linear parameters. QR AMPS eliminates manual coding by allowing users to drag and drop feature names and mathematical operators directly within a visual web UI. The background engine automatically re-aligns data pipelines, optimizes model hyperparameters, and builds complex feature chains in real time.
Do we need an internal data science team to operate QR AMPS?
No. QR AMPS is delivered as a turnkey, production-ready service. Forecasts are published via automated APIs and intuitive web dashboards featuring interactive tables and plots. Our specialized engineering squad manages the end-to-end AI pipeline—including data ingestion, cleaning, and model configuration. However, we maintain an open architecture so client data science teams can inspect, audit, or refine models at their discretion.
What does the onboarding process and implementation timeline look like?
API integration is designed for rapid deployment, with setup typically completed alongside your IT team in just a few hours. Simultaneously, your trading and operational teams receive targeted walkthroughs on dashboard reports and analytics features to ensure immediate productivity.
How is the QR AMPS forecasting software licensed?
We provide a predictable annual subscription license. Your subscription includes unlimited total and concurrent user seats across all operational environments (production, staging, and disaster recovery) with no hidden per-user fees or team expansion penalties.
What happens if we need custom reports or new forecast nodes later?
All ongoing model additions, pricing node configurations, feature adjustments, and custom report builds are fully covered under your annual subscription at no extra charge.
Is a free trial available?
Yes. We offer a guided multi-week free trial using your team’s historical market data or specific pricing nodes, allowing you to evaluate model accuracy, API speed, and dashboard usability risk-free.
What is included in the customer support and maintenance program?
Your deployment includes a continuous operational warranty. Our technical team actively monitors data feeds, pipeline executions, and dashboard visualizations to resolve issues proactively. Routine maintenance, security patches, and annual platform upgrades are included at no added cost, with planned maintenance coordinated to prevent operational downtime.
What is your uptime guarantee and SLA protocol?
We back our platform with a formal, binding Service Level Agreement (SLA) featuring severity-based response times and an enterprise uptime target of 99.7%+.
Which data sources are required to train and run the price models?
QR AMPS automatically ingests all public and market operator telemetry feeds across target ISOs—including regional demand forecasts, thermal/renewable generation forecasts (solar, wind, gas), generation outages, and transmission line constraints via QR DataHub.
How is forecast model accuracy evaluated and benchmarked?
The platform includes built-in accuracy visualizers and automated backtesting frameworks. Model performance is continuously tracked using standard quantitative metrics:
- MAPE (Mean Absolute Percentage Error)
- MAE (Mean Absolute Error)
- WAPE (Weighted Absolute Percentage Error)
Clients can benchmark live QR AMPS predictions directly against their existing internal baselines during the free trial period.
Is QR AMPS compatible with specific US ISOs and international power markets?
Yes. QR AMPS fully supports market structures across North America (PJM, CAISO, ERCOT, NYISO, ISO-NE, MISO, SPP), Europe (EPEX SPOT, OMIE), and Asia-Pacific (EPIAS, JEPX). The engine handles 5, 15, 30, and 60-minute settlement resolutions across both Day-Ahead (DAM) and Real-Time (RTD) market products.
What is probabilistic forecasting and how does QR AMPS model market uncertainty?
Unlike single-point deterministic forecasts, probabilistic forecasting predicts full probability distributions (e.g., P5, P10, P50, P90, P95) by modeling price variance and market volatility. This gives traders and asset managers explicit confidence intervals to evaluate tail risks, mitigate imbalance penalties, and optimize bidding strategies in volatile real-time markets.
How to Proceed
Whether we install QR Price 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.
