Automate Your Smart Home Energy Savings with AI
detail.loadingPreview
Effortlessly reduce your energy consumption and costs with the Smart Home Energy Saver workflow. This AI-powered solution intelligently manages your smart home devices to optimize energy usage.
About This Workflow
The Smart Home Energy Saver is an advanced automation workflow designed to intelligently reduce your household's energy consumption. It leverages AI and webhook integrations to dynamically adjust smart home devices based on real-time data and learned patterns. The workflow receives data via a webhook, processes it using text splitting and embeddings, and stores this information in a Supabase vector database for intelligent querying. It then utilizes a language model and memory to understand energy usage context and a tool to interact with your smart home devices, ultimately logging the savings to a Google Sheet. This solution provides a proactive approach to energy management, saving you money and contributing to a greener lifestyle.
Key Features
- AI-Powered Optimization: Utilizes advanced AI models for intelligent energy usage analysis and decision-making.
- Seamless Integration: Connects with various smart home devices through webhook triggers.
- Data-Driven Insights: Stores and queries energy usage data in a Supabase vector database for continuous learning.
- Automated Control: Dynamically adjusts smart home devices to minimize energy waste.
- Savings Logging: Automatically tracks and logs your energy savings to a Google Sheet for easy monitoring.
How To Use
- Webhook Setup: Configure the 'Webhook' node with your desired endpoint path (
smart_home_energy_saver). Ensure your smart home system or other data sources can send POST requests to this endpoint. - Data Processing: The 'Splitter' node will break down incoming data into manageable chunks. The 'Embeddings' node will then convert this data into vector embeddings using your configured Cohere API.
- Knowledge Base: The 'Insert' node adds these embeddings to your Supabase vector store, creating a knowledge base for your smart home energy data. Ensure your Supabase credentials are correctly set up.
- Intelligent Querying: The 'Query' node retrieves relevant information from the Supabase vector store based on incoming requests. The 'Tool' node wraps this functionality for the agent.
- AI Agent Configuration: The 'Memory' node stores conversation history for context, and the 'Chat' node uses your HuggingFace API for language model interactions. The 'Agent' node orchestrates these components to make energy-saving decisions.
- Savings Logging: Configure the 'Sheet' node with your Google Sheets API credentials and the correct 'SHEET_ID' and 'Log' sheet name to automatically record your energy savings.
Apps Used
Workflow JSON
{
"id": "e52a4724-dfcd-4620-be7c-708ad68ed8a9",
"name": "Automate Your Smart Home Energy Savings with AI",
"nodes": 5,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: e52a4724-dfcd...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
Statistics
Related Workflows
Discover more workflows you might like
Universal CSV to JSON API Converter
Effortlessly transform CSV data into structured JSON with this versatile n8n workflow. Integrate it into any application as a custom API endpoint, supporting various input methods including file uploads and raw text.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.