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Energy Consumption Forecast – NetaFORECAST
Advanced predictions to streamline energy purchasing and financial planning for the power industry.
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NetaFORECAST is the module designed for long-term hourly forecasting of energy consumption, supporting key processes such as purchasing on IPEX, PCE scheduling, budgeting, and management control. It leverages advanced autoregressive models and clustering of similar PODs, using real historical data and "similar days" to estimate future needs—even in the absence of available load curves.
It manages standardized flows (65/12, 700/2017, PRA, CRPP), real and forecasted consumption curves, outliers, grid losses, and gain coefficients. The system is independent from metering validation, highly configurable, equipped with advanced reporting, and ready for data export to IPEX and PCE. Ideal for power-oriented operators aiming to optimize energy procurement, cut costs, and boost energy sustainability.
The Neta advantage: Why it stands out
Advanced Predictive Model
It features a model based on historical data, similar days, and comparable PODs, with autoregressive logic that can be customized by the client.
Integration with Metering Solutions
It uses actual measurement data without conflicting with validation processes, ensuring greater reliability. It natively integrates with Neta’s Metering solution and is fully compatible with third-party metering systems.
Extensive Coverage of Regulated Data Flows
It manages data related to regulated flows 65/12, 700/2017, PRA, and CRPP, using robust aggregation and filtering logic.
Total Parametric Flexibility
Users can adjust specific parameters such as gain, thresholds, calendar, outliers, and predefined curves to build advanced forecasting scenarios.
Dynamic, Business-Oriented Reporting
Generates output files in CSV format, with both summary and detailed reports available. Data can be broken down by POD, zone, voltage level, and distributor.
Full Support for Strategic Processes
Optimizes business processes related to energy procurement, risk management, budgeting, and management control.
Hourly Forecast Curve Processing for Individual PODs
The solution generates forecast outputs even in the absence of actual load curves, using similar PODs and customizable autoregressive algorithms.
Management of Similar Days and Local/Industry-Specific Holidays
Allows the configuration of rules to ensure reliable forecasts even in highly specific contexts (e.g., data centers, telecom towers, municipal holidays).
Processing of Hourly and Non-Hourly PODs
Performs curve reconstruction using Area Residual Withdrawal (PRA) and Load Allocation Coefficients (CRPP) when direct measurements are not available.
Flow Versioning and Rejection Monitoring
Includes a dedicated dashboard with detailed information on errors, warnings, acquired files, and generated curves.
Support for Regulated Network Losses (ARG/elt 107/09)
Manages the net/gross consumption estimation process as an integrated part of the forecasting workflow.
Data Export to IPEX/PCE
Generates CSV files ready for the communication of energy needs and hourly aggregated data.
Curve Reconstruction from Similar PODs
The solution features an innovative system for clustering and merging real and estimated curves.
Configurable Algorithmic Flexibility
No need for external technical support: users can independently manage tuning processes by adjusting thresholds, outliers, and coefficients.
Validation-Independent Forecasting Approach
The forecasting process can be carried out even when meter readings are still being processed.
Real-Time Simulations and Adjustments
It is possible to recalculate curves even after updates have been made.
Optimization of Energy Procurement
Pianificazione più accurata dei volumi e miglior matching tra domanda e offerta.
Optimization of Energy Procurement
More accurate volume planning and improved matching between supply and demand.
Forecasting automation
Automatic calculation, updates, and recalculations for all managed PODs.
Decision-making support for Budgeting and Risk Management
Integrated forecasts with KPIs and cost/consumption scenarios
Adaptable to diverse operational and market contexts
A versatile solution for simple or multi-cluster portfolios, LV/MV/HV, and both hourly and non-hourly PODs.
Lower TCO through smart integration
Self-service BI tools, direct integration, and standardized outputs — no external tools needed — all contribute to reducing your Total Cost of Ownership.
Gen AI-powered AMS: from reactive to predictive
Thanks to Generative AI, Application Management Services is evolving into an intelligent ecosystem: it learns, adapts, and anticipates change, transforming daily operations into continuous innovation.
On prem/Cloud & SaaS
Support services for the solutions
