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QR Load Forecast

QR Load Forecast is one of the modules of QR Analytics. We integrate in a single web-platform data and high-performance analytics.

No permanent license, maintenance fee, or lengthy and costly implementation. We offer one single all inclusive competitive price for license, analytics models, upgrades, support and configuration.
Our forecasting methodology is universal and applies to all power markets and operations. We continually monitor and enhance our forecasting models.

Two Load Forecast Perspectives:

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    Utility load forecasting based on meter and possibly SCADA data. Load forecasting can be performed on an individual meters or node, or on aggregated totals based on business rules such as, per client type, region, or the utility total load.

Process Automation

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    Customer hourly meter load forecasting based on monthly consumptions. We forecast a normalized hourly shape and apply that to deduce an hourly load forecast for the customer.

Advanced Forecast Models

Our state-of-the-art proprietary forecasting platform uses a hybrid architecture of artificial intelligence and evolutionary algorithms.

Multiple curves and indicators can be used as inputs. These can be added and removed with a mouse click. Here are some typical examples:
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    Historic ISO load data, real-time, day-ahead, (sub)-hourly, prior to a period quotes (in some markets). Load data can be nodal, zonal, per hub or region.
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    ISO provided load forecasts if any, day/look ahead. These are used in forecasting ISO load.
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    Meter data and SCADA if available, for forecasting a utility and its clients load.
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    Multiple weather data indicators.

Additional input configuration

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    Rolling forward indicators, such as previous hour, yesterday same hour, last week same day and hour, yesterday average, last week average.
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    Calendars to filter out and interpolate weekend and holiday effects.
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    Start and end date for training or calibration of the model.
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    Run-time loading of multiple published phases and data types in order to use best and all available information. For example, "Final" meter starting a year ago to last billing period, "Preliminary" meter data from a month ago to previous days, "Provisional" overnight data from 7 days ago to today, SCADA up to previous hour. There is a descending hierarchy of such phases. The system is intelligent to use the best available data for each period.

Calibration Back-testing

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    Detailed MAPE error analysis is provided on back testing.
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    Input curves and indicators are ranked in order of effectiveness, so that the model can be fine tune and improved.
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    Actual data and forecast are gathered in live real-time "Data Panels" with plots, tabular display and export capability to CSV.

Flexibility

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    Model configurations and estimated parameters are visible and auditable. Results are saved individually.
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    Multiple security access levels are defined for users.
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    Extensive import and export capabilities are offered.
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    Solution runs automatically at every market period.

Process Automation

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    QR Connectivity Bridge automates data fetching and management. E.g., electricity load and price data from ISOs, power pools, SCADA and meter systems.
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    Seamless integration with trading, scheduling and optimization.
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    Forecasting jobs can be set to run automatically as part of interconnected network of business processes.

You can acquire this module in several ways:

QR Load Forecast as a Cloud Service

This cloud service requires no software implementation on your end. All you need is a browser. It is operational and runs numerous electricity markets worldwide. Leverage many existing well calibrated models and reports. We continually maintain data, and models.
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    Option 1: Use QR Load Forecast as a stand-alone cloud service.
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    Option 2: Use QR Load Forecast as part of QR Power ETRM platform.

On-site Implementation

Is an alternative for larger companies using your own IT resources and team to operate the system. You can still benefit from a lightening fast implementation leveraging the above templates.