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MetrixIDR Retail
Customer Portfolio And Delivery Point Forecasting
Product Detail
Product image 1 of 1
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.
Resources
Brochure
- Energy Forecasting Services
- Forecast as a Service Brochure
- Forecast as a Service Brochure (Portuguese)
- MetrixIDR Retail
- MetrixIDR System Operations
- MetrixND Brochure
Case Study
White Paper
- A Unified Framework for Near-Term and Short-Term System Load Forecasting
- AMI Demand Response: The Opportunity and Challenges of Mass Market Dynamic Pricing
- Closing the Books Forecasting the Unbilled Energy and Sarbanes-Oxley Compliance
- Defining Normal Weather for Energy and Peak Normalization
- Forecasting Solar Generation
- Impact of AMI on Load Research and Forecasting
- Improving Short-Term Load Forecasts by Incorporating Solar PV Generation
- Incorporating DSM into the Load Forecast
- Itron Annual Energy Survey 2020
- Itron Annual Energy Survey 2021
- Itron Annual Energy Survey 2021
- Itron Annual Energy Survey 2022
- Itron Annual Energy Survey 2023
- Itron Annual Energy Survey 2023
- Modeling and Accounting Methods for Estimating Unbilled Energy
- Price Elasticities in Energy Modeling and Forecasting
- Short Term Energy Forecasting with Neural Networks
- Statistical Approaches to Electricity Price Forecasting
- Toward an Optimal Combined Load Forecast for System Operations
- Using Neural Networks for Day-Ahead Forecasting
- Why Not Pi? A Primer on Neural Networks for Forecasting
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