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

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.

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

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

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.