# 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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://husby.gitbook.io/husby-docs/ai-integration.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.