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MetrixIDR Retail
Customer Portfolio And Delivery Point Forecasting
Energy retailers need timely and accurate forecasts to schedule their loads in day-ahead and balancing markets; Energy traders need accurate retail load forecasts to manage their risk. Itron’s MetrixIDR™ is designed to meet both needs. MetrixIDR is a flexible system that generates sub-hourly, hourly or daily forecasts for lists of delivery points or portfolios of electric and gas retail customers, where the portfolio can be changed on a daily basis. By combining historical load data with weather and calendar information, MetrixIDR provides forecasters the ability to create forecast models for a large number of customers, manage a changing customer base, and monitor forecast-accuracy over time. MetrixIDR integrates with IEE to generate profiles for use in retail settlement.
To learn more about our forecasting technologies, we encourage you to visit the ITRON FORECASTING BLOG
Contact Sales
To learn more about our forecasting technologies, we encourage you to visit the ITRON FORECASTING BLOG
Operating system and user interface provided in English only.
Product Information
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2019 Forecasting Benchmarking Survey Report
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A Unified Framework for Near-Term and Short-Term System Load Forecasting
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AMI Demand Response: The Opportunity and Challenges of Mass Market Dynamic Pricing
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AMI Demand Response: The Opportunity and Challenges of Mass Market Dynamic Pricing
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Closing the Books Forecasting the Unbilled Energy and Sarbanes-Oxley Compliance
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Defining Normal Weather for Energy and Peak Normalization
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Energy Forecasting Services
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Energy New England Case Study
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Forecast as a Service Brochure
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Forecasting Solar Generation
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Impact of AMI on Load Research and Forecasting
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Improving Short-Term Load Forecasts by Incorporating Solar PV Generation
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Incorporating DSM into the Load Forecast
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MetrixIDR Retail
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MetrixIDR System Operations
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MetrixND Brochure
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Modeling and Accounting Methods for Estimating Unbilled Energy
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Price Elasticities in Energy Modeling and Forecasting
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Short Term Energy Forecasting with Neural Networks
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Statistical Approaches to Electricity Price Forecasting
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Toward an Optimal Combined Load Forecast for System Operations
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Using Neural Networks for Day-Ahead Forecasting
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Why Not Pi? A Primer on Neural Networks for Forecasting