---
title: "SLP Customers: Time for Modern Load Forecasting | alitiq"
description: "The smart meter rollout is changing the energy industry. For many utilities, it is a paradigm shift – and a chance to future-proof their forecasting."
url: https://alitiq.com/en/blog/slp-customers-modern-forecasting
language: en
alternates:
  en: https://alitiq.com/en/blog/slp-customers-modern-forecasting
  de: https://alitiq.com/de/blog/slp-kunden-moderne-prognoseloesungen
---

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Smart Meter

Forecasting

AI

Energy Utilities

SLP

# SLP Customers in Transition – Why Now Is the Right Time for Modern Forecasting Solutions

December 3, 2025

Daniel Gröger

![SLP Customers in Transition – Why Now Is the Right Time for Modern Forecasting Solutions](https://alitiq.com/images/blog/imsys-entwicklung-deutschland.webp)

The smart meter rollout is noticeably changing the energy industry. What previously only applied to RLM customers now also affects SLP portfolios: consumption must be balanced and procured much more precisely in the future. For many energy suppliers, this means a real paradigm shift – and at the same time an opportunity to future-proof their forecasting landscape.

![Development of iMSys Systems in Germany](https://alitiq.com/images/blog/imsys-entwicklung-deutschland.webp)

Development of iMSys Systems in Germany

## Why Forecasting Capability Is Becoming More Important

With the increasing share of weather-dependent generation – such as photovoltaics and wind – the quality of procurement increasingly depends on meteorological know-how. At the same time, the volume of data is growing massively due to intelligent metering systems.

Many utilities face similar challenges:

- Hard-to-predict customers
- Inaccurate forecasts
- Rising balancing energy costs
- Additional effort due to complex weather data
- High personnel requirements despite automation potential

The central question is: **How can this growing complexity be efficiently addressed?**

## Modern Forecasts: Fast, Dynamic, and Scalable

New technological approaches now enable forecasts that go far beyond traditional methods. An all-in-one forecasting approach can, for example:

- Dynamically control procurement portfolios
- Continuously update forecasts
- Significantly reduce risks
- Noticeably save working time – up to 20 hours per week

![All-in-One Forecasts for Procurement](https://alitiq.com/images/blog/all-in-one-prognosen-beschaffung.webp)

All-in-One Forecasts for Procurement

Additionally, it has been shown that **savings of €10,000 per 1 GWh per year** are possible when forecasts are consistently optimized.

## How AI Improves Forecast Quality

The alitiq engine – an ML framework specifically for the energy industry – addresses exactly these points. It combines:

- Scalable data processing for millions of measurement points
- High-quality weather data
- AI-based spatial and logical clustering
- Forecasts across all time horizons: Intraday, Day-Ahead, Week-Ahead to Year-Ahead

![Forecast Time Horizons](https://alitiq.com/images/blog/prognose-zeithorizonte.webp)

Forecast Time Horizons

The AI automatically searches for those clusters that enable the lowest forecast deviations – a decisive advantage in the changing SLP environment.

## Co-Creation: Help Shape the Forecasting Platform of the Future

A particularly exciting approach is alitiq's co-creation program. Energy suppliers can actively influence the further development of the platform here – from the requirements for smart meter data to aggregation to integration into existing systems.

## A Look Ahead

Whether electricity, gas, heat, or renewable generation: predictability in the energy system is becoming a decisive factor. Modern AI-supported forecasts are pushing the boundaries of what is possible here – and offer energy suppliers a way to transform complexity into planability.

### Ready to Transform Your Business?

Discover how alitiq's forecasting intelligence can optimize your operations.

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