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MetrixIDR Retail
Cartera de clientes y Predicción de punto de entrega
Product Detail
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"Los
proveedores minoristas de energía necesitan predicciones precisas y
puntuales para planificar sus cargas de los mercados de ajuste y del
día siguiente. Los comerciantes de energía necesitan predicciones
precisas de carga minorista para gestionar los riesgos MetrixIDR de
Itron está diseñado para satisfacer ambas necesidades. MetrixIDR es un
sistema flexible que genera predicciones de fracción, por hora o
diarias para listas de puntos de entrega o carteras de clientes
minoristas de gas y electricidad, donde se puede cambiar la cartera
diariamente. Al combinar datos de carga históricos con información
meteorológica y de calendario, MetrixIDR brinda a los previsores la
capacidad de crear modelos de predicción para un gran número de
clientes, administrar una base de clientes cambiante y controlar la
precisión de las predicciones con el paso del tiempo.
Contact Sales
El sistema operativo e interfaz de
usuario proporciona en Inglés solamente.
"Resources
Brochure
- Energy Forecasting Services
- Forecast as a Service Brochure
- IntelliFLEX Brochure
- IntelliFLEX Brochure
- MetrixIDR Retail
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- 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
- 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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