enercast announces release 2025.02 of its forecasting solution for wind and solar energy and its integration platform for weather-based artificial intelligence.

Growing relevance of PV self-consumption

Photovoltaic systems are increasingly being combined with energy consumption behind the meter in order to reduce grid supply through self-consumption of locally generated electricity. The type of consumption can vary greatly: In the case of residential PV plants, they are typically combined with battery storage systems, while commercial PV installations often come with heating or cooling devices. A higher level of self-consumption means that the forecast for power generation deviates increasingly from the expected feed-in.

Separate forecast and meter data streams allow you to see the difference between generation and feed-in at a glance.

Forecast for solar assets with self-consumption

The feed-in forecast for these plants poses a particular challenge due to the many influencing factors such as operating times and user behavior as well as the limited availability of data. In order to optimize the forecast for solar assets with self-consumption, enercast 2025.02 now features dedicated forecast models. Separate meter data streams can be provided to evaluate and train these models, and the desired forecast output can be selected from generation, self-consumption and feed-in.

Other highlights from enercast 2025.02

In addition, enercast 2025.02 brings improved power forecast percentiles, a new bulk meter data cleansing for Solar Assets and an enhanced enercast SEF Smart Energy Forecast, among other improvements.

Get to know more!

Do you want to know more about the enercast Portal and its brand-new features? Request a personal consultation with live demo here!