Hi everyone, I’ve been exploring the world of wholesale electricity pricing with Amber Electric, and I wanted to share my journey and thoughts with you all. If you’re not familiar, Amber Electric is an Australian retailer that offers access to real-time wholesale electricity prices, which can be both exciting and a bit overwhelming for new users like myself. I stumbled upon a GitHub thread discussing a rule/script for integrating Amber Electric data into smart home systems, and it sparked my interest in creating a simple binding. The idea is to make it easier for users to adjust their home activities based on current electricity prices. For example, turning on the heater or aircon when prices drop super low, or pausing energy-intensive tasks during peak hours. So far, I’ve been thinking about the key data points users might be interested in: - Current price ($/kWh): Real-time pricing to make informed decisions. - Spot price ($/kWh): A snapshot of the current market price. - Power spike switch: A toggle to indicate when there’s a significant price increase. - % renewables: A cool way to track how much of your energy is coming from renewable sources. I’ve also been experimenting with how to visualize this data in a way that’s easy to understand. The goal is to create a system that not only provides real-time updates but also offers actionable insights. For instance, setting up automated routines that adjust thermostat settings or pause non-essential appliances during high-price periods. One thing I’ve noticed is the sheer amount of data available. While it’s great to have so much information, it can be a bit overwhelming for newcomers. That’s why I’m focusing on creating a streamlined interface that highlights the most critical data points without overwhelming users. If anyone has suggestions or experiences they’d like to share about similar integrations or data visualization techniques, I’d love to hear them! Whether it’s about specific features you’d like to see or tips for making the most of wholesale pricing data, your input would be invaluable. In the meantime, I’ll keep working on refining the binding and testing different automation scenarios. It’s a fascinating project, and I’m excited to see how it can help users save money while being more mindful of their energy consumption. Cheers, Paul