> ## Documentation Index
> Fetch the complete documentation index at: https://developers.podero.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Understand how Podero optimizes your energy portfolio through day-ahead market participation

# Day-Ahead Trading

Day-Ahead Trading enables utilities to optimize energy procurement costs by leveraging the flexibility of Podero's connected device fleet. By shifting energy consumption to low-price periods while maintaining end-user comfort, you can reduce wholesale energy costs and improve grid balancing.

## Business Value

### Cost Optimization

Podero analyzes your day-ahead price forecasts and calculates an optimized consumption schedule that shifts flexible loads (heat pumps, EV charging, etc.) to periods with lower energy prices. The difference between optimized and baseline consumption represents your potential cost savings.

**Example:** If your baseline consumption during peak hours (high prices) is 500 MWh, Podero can shift 150 MWh to off-peak hours (low prices), reducing your procurement costs while maintaining all end-user comfort requirements.

### Revenue Opportunities

Beyond cost reduction, the flexible capacity can create additional revenue streams:

* **Arbitrage:** Buy energy when prices are low, shift consumption to avoid high-price periods
* **Grid Services:** Provide demand response to balance the grid
* **Market Participation:** Actively shape your load profile to match your trading strategy

## How It Works

The Day-Ahead optimization operates over a **\~36-hour window** with three distinct phases:

<Steps>
  <Step title="Phase 1: Optimization & Trading">
    **Day 1, 09:00 - 12:00**

    1. **Upload Prices (\~09:00):** You send your day-ahead price forecasts to Podero
    2. **Optimization (\~09:00 - 10:30):** Podero calculates optimized and unoptimized load curves
    3. **Fetch Curves (\~10:30):** You retrieve both curves to calculate the delta
    4. **Trade on Market (\~10:30 - 12:00):** You adjust your market bids based on the optimized curve
  </Step>

  <Step title="Phase 2: Confirmation">
    **Day 1, 14:30 or 23:30**

    You confirm to Podero that you have purchased the optimized volume. Timing depends on your trading strategy:

    * **Intraday traders:** Confirm by 14:30 (before intraday market opens at 15:00)
    * **Non-intraday traders:** Confirm by 23:30 (before optimization starts at midnight)
  </Step>

  <Step title="Phase 3: Physical Delivery">
    **Day 2, 00:00 - 24:00**

    Podero steers the device fleet according to the confirmed optimized load curve, ensuring your actual consumption matches your purchased volumes.
  </Step>
</Steps>

<Warning>
  **Confirmation deadline depends on your trading strategy:**

  * **Intraday traders:** Confirm by **14:30** (before intraday trading starts at 15:00)
  * **Non-intraday traders:** Confirm by **23:30** (before optimization starts at midnight)

  This confirms that you **have** purchased the optimized volume. Without confirmation, devices operate according to baseline behavior. The 30-minute buffers allow for contingencies and system processing.
</Warning>

## Understanding the Delta

The key to Day-Ahead Trading is the **delta** between optimized and unoptimized curves:

```
Delta = Optimized - Unoptimized
```

* **Positive delta:** Increased consumption (buy more energy for that interval)
* **Negative delta:** Decreased consumption (buy less energy for that interval)
* **Net effect:** Shifts consumption from high-price to low-price periods

**Example Scenario:**

| Time  | Price      | Unoptimized | Optimized | Delta   | Action                      |
| ----- | ---------- | ----------- | --------- | ------- | --------------------------- |
| 02:00 | 25 EUR/MWh | 100 MWh     | 150 MWh   | +50 MWh | Buy 50 MWh more (cheap)     |
| 18:00 | 85 EUR/MWh | 200 MWh     | 150 MWh   | -50 MWh | Buy 50 MWh less (expensive) |

The optimization shifts 50 MWh from the expensive evening period to the cheap night period, saving: `50 MWh × (85 - 25) EUR/MWh = 3,000 EUR`

## Fleet Flexibility

Podero optimizes consumption across multiple device types:

* **Heat Pumps:** Shift heating/cooling cycles while maintaining temperature comfort
* **Electric Vehicles:** Schedule charging during low-price periods while meeting departure times
* **PV Systems + Batteries:** Optimize battery charging/discharging and maximize self-consumption

The optimization engine respects all user comfort settings, device technical constraints, and grid requirements.

## Risk Mitigation

### You Maintain Control

* You can reject the optimization at any time before the confirmation deadline
* No activation until you send the confirmation
* Devices automatically fall back to unoptimized behavior if not confirmed

### Transparency

* Both optimized and unoptimized curves provided
* Full visibility into the delta before trading
* You see exactly what will happen before committing

## Prerequisites

Before integrating, ensure you have:

* Active Partner API credentials with trading permissions
* System to generate 15-minute price forecasts
* Trading desk integration or automation
* Process to confirm trades by 14:30 (intraday) or 23:30 (non-intraday)

## Next Steps

<Card title="Integration Guide" icon="arrow-right" href="/deep-dives/day-ahead-trading/integration">
  Learn how to integrate the Day-Ahead Trading API
</Card>