Energy Consumption Forecast – NetaFORECAST
Advanced predictions to streamline energy purchasing and financial planning for the power industry.
The Neta advantage: Why it stands out
It features a model based on historical data, similar days, and comparable PODs, with autoregressive logic that can be customized by the client.
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.
It manages data related to regulated flows 65/12, 700/2017, PRA, and CRPP, using robust aggregation and filtering logic.
Users can adjust specific parameters such as gain, thresholds, calendar, outliers, and predefined curves to build advanced forecasting scenarios.
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.
Optimizes business processes related to energy procurement, risk management, budgeting, and management control.
The solution generates forecast outputs even in the absence of actual load curves, using similar PODs and customizable autoregressive algorithms.
Allows the configuration of rules to ensure reliable forecasts even in highly specific contexts (e.g., data centers, telecom towers, municipal holidays).
Performs curve reconstruction using Area Residual Withdrawal (PRA) and Load Allocation Coefficients (CRPP) when direct measurements are not available.
Includes a dedicated dashboard with detailed information on errors, warnings, acquired files, and generated curves.
Manages the net/gross consumption estimation process as an integrated part of the forecasting workflow.
Generates CSV files ready for the communication of energy needs and hourly aggregated data.
The solution features an innovative system for clustering and merging real and estimated curves.
No need for external technical support: users can independently manage tuning processes by adjusting thresholds, outliers, and coefficients.
The forecasting process can be carried out even when meter readings are still being processed.
It is possible to recalculate curves even after updates have been made.
Pianificazione più accurata dei volumi e miglior matching tra domanda e offerta.
More accurate volume planning and improved matching between supply and demand.
Automatic calculation, updates, and recalculations for all managed PODs.
Integrated forecasts with KPIs and cost/consumption scenarios
A versatile solution for simple or multi-cluster portfolios, LV/MV/HV, and both hourly and non-hourly PODs.
Self-service BI tools, direct integration, and standardized outputs — no external tools needed — all contribute to reducing your Total Cost of Ownership.