Optimize load forecasting and reduce imbalance costs.

Improve procurement timing and customer retention with better market data and real-time settlement accuracy.

The Problem

Load forecasting errors are expensive

Poor load predictions lead to imbalance charges that erode margins. A 5% forecast error can cost medium REPs hundreds of thousands annually.

Procurement timing affects profitability

Without real-time price signals, REPs buy at suboptimal times. Missing market opportunities by minutes can impact portfolio margins.

Settlement accuracy matters

Regulatory compliance requires accurate settlement processes. Errors lead to PUC penalties and customer disputes.

What You Get

Improved Load Forecasting

Enhanced prediction models that reduce forecast error and minimize imbalance charges across your customer portfolio.

Real-time Market Signals

Price and demand indicators that help optimize procurement timing and avoid buying during peak market conditions.

Settlement Accuracy

Real-time validation tools that ensure accurate customer billing and regulatory compliance reporting.

Customer Insights

Usage pattern analysis and demand response opportunities that add value for commercial and industrial customers.

Optimize Your REP Operations

Load Forecasting

GET /v1/load/forecast/next-hour
Response: "predicted_load": 125.3,
"confidence": 0.94

Get hourly load predictions with confidence intervals. Reduce forecast error and minimize imbalance charges across your customer portfolio.

Procurement Timing

Alert: "Price spike likely in DAM"
Action: "Delay procurement until prices normalize"
Savings: "$3.40/MWh on 125 MW position"

Receive alerts for price spikes and optimal procurement windows. Time your DAM purchases to avoid peak pricing periods.

Customer Value-Add

Service: "4CP optimization for C&I customers"
Benefit: "Reduce transmission costs 20-30%"
Result: "Higher retention + premium pricing"

Offer demand response and 4CP optimization services. Create additional value streams and improve customer retention.

Real REP Examples

Medium REP Portfolio

Customer Load:125 MW avg
Forecast Error:8.2% → 3.1%
Imbalance Cost:$2.1M → $650K
Procurement Savings:$1.8M/year
Total Benefit:$3.25M/year

Large REP Operations

Customer Count:500K customers
Portfolio Size:2.1 GW
Market Share:12% of ERCOT
Risk Management:Enhanced hedging
Annual Value:$15M+ benefit

Technical Advantages

±3%
Forecast accuracy

Reduce load prediction errors and imbalance costs

5min
Price signal delay

React quickly to market changes and price spikes

99.8%
Settlement accuracy

Maintain regulatory compliance and avoid penalties

REP Integration API

# Get load forecast and market signals
curl https://api.wattmarkets.com/v1/rep/dashboard   -H "Authorization: Bearer YOUR_API_KEY"

# Response
{
  "portfolio_load": {
    "current": 125.3,
    "forecast_next_hour": 128.7,
    "confidence": 0.94
  },
  "market_signals": {
    "dam_price_trend": "rising",
    "optimal_procurement_window": "14:00-15:00",
    "price_spike_risk": "low"
  },
  "imbalance_cost": {
    "current_month": 45200,
    "vs_last_month": "-23%"
  }
}

Improve your REP margins and customer retention

Better forecasting and market intelligence translate directly to profitability and competitive advantage.

Test Load APIsView Pricing