Update README with ERCOT data and multiple model support

README.md

@@ -1,6 +1,6 @@
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-title: Time Series Forecasting with Chronos-2
-emoji: 📈
+title: Time Series Forecasting - ERCOT Electricity Market
+emoji: ⚡
 colorFrom: blue
 colorTo: purple
 sdk: streamlit
@@ -10,25 +10,47 @@ pinned: false
 python_version: 3.11
 ---
 
-# Time Series Forecasting Demo
+# Time Series Forecasting Application
 
-This demo uses **Chronos-2**, Amazon's state-of-the-art pretrained time series forecasting model, for accurate zero-shot predictions.
+Zero-shot time series forecasting application for **ERCOT electricity market data** using state-of-the-art pretrained models.
 
 ## Features
 
-- 🚀 Powered by Chronos-2 (120M parameters)
-- 📊 Interactive forecasting with customizable prediction horizons
-- 📈 Probabilistic forecasts with confidence intervals
-- 💻 Easy-to-use web interface built with Streamlit
+- ⚡ **Live ERCOT Data**: Fetches real-time electricity price data from ERCOT Day-Ahead Market (180+ days)
+- 🤖 **Multiple Models**: Choose from 7 pretrained forecasting models:
+  - **Chronos-2** (46M - 120M parameters) - Amazon's latest models
+  - **Chronos-T5** (8M - 710M parameters) - Original Chronos family
+  - **TiRex** (35M parameters) - NX-AI's xLSTM-based model
+- 📊 **Backtesting**: Automatic train/test split with performance metrics (MAE, RMSE, MAPE)
+- 📈 **Interactive Visualization**: Historical context, actual values, and forecasts with date-based axes
+- 🎯 **Zero-Shot Forecasting**: No training required - models work out-of-the-box
+- 💻 **Easy-to-Use Interface**: Built with Streamlit for intuitive interaction
 
 ## Usage
 
-1. Enter your time series data (comma-separated values)
-2. Select the forecast horizon (1-64 time steps)
-3. View the forecast with 80% prediction intervals
+1. Select a forecasting model from the dropdown
+2. Choose data source (ERCOT or sample data)
+3. Set the forecast horizon (number of time steps)
+4. View backtesting results with error metrics and comparison plots
 
-## About Chronos-2
+## Models
 
-Chronos-2 offers zero-shot support for univariate, multivariate, and covariate-informed forecasting tasks, delivering state-of-the-art performance across multiple benchmarks.
+### Chronos-2
+Amazon's latest time series foundation models offering state-of-the-art zero-shot forecasting performance.
 
-Learn more: [Chronos Forecasting Repository](https://github.com/amazon-science/chronos-forecasting)
+### Chronos-T5
+Original Chronos family based on T5 architecture, available in multiple sizes for different accuracy/speed tradeoffs.
+
+### TiRex
+NX-AI's xLSTM-based model optimized for both short and long-term forecasting with excellent benchmark performance.
+
+## Data Source
+
+- **ERCOT**: Day-Ahead Market Settlement Point Prices (SPP) from the Electric Reliability Council of Texas
+- **Sample Data**: Synthetic electricity price data for testing
+
+## Links
+
+- [Chronos Forecasting](https://github.com/amazon-science/chronos-forecasting)
+- [TiRex Model](https://huggingface.co/NX-AI/TiRex)
+- [ERCOT Data](http://www.ercot.com/)