> For the complete documentation index, see [llms.txt](https://husby.gitbook.io/husby-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://husby.gitbook.io/husby-docs/ai-integration.md).

# AI integration

{% content-ref url="/pages/JDcaCwLAPKrFwoxK9pdL" %}
[Principle of AI operation](/husby-docs/energy-cost-savings-and-profitability-analysis/principle-of-ai-operation.md)
{% endcontent-ref %}

**Real-time monitoring**

– Electricity price tracking: Our AI system continuously monitors electricity prices on the European market in real-time. This allows us to make data-driven decisions about energy sourcing.

**Dynamic switching**

– Cost-effective energy use: The AI algorithm dynamically switches between biogas-generated electricity and market electricity based on current pricing trends. When market prices are lower or negative, the AI automatically opts for market electricity, ensuring cost savings.

– Fallback to biogas: During periods when market prices are higher, the AI reverts to using biogas-generated electricity, maintaining a cost-effective and sustainable energy supply.

**Cost optimization**

– Adaptive energy management: The AI system is designed to adapt to fluctuations in electricity demand and supply, optimizing energy consumption patterns to minimize costs.

– Predictive maintenance: AI-driven predictive maintenance ensures that our equipment runs efficiently, reducing downtime and maintenance costs.

**Future enhancements**

– Continuous improvement: We are committed to continuously enhancing our AI system to further reduce electricity costs and improve operational efficiency.

– Zero-cost electricity goal: Our long-term objective is to reduce electricity costs to zero through advanced AI optimization and innovative energy solutions.