Energy APIEnergy Comparison

Optimize Energy Tariff Based on Usage Patterns

Determine the optimal tariff structure for each customer. Identify whether flat rate, time-of-use, or demand tariffs provide the best value.

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The Challenge

Many customers would save on different tariff structures but don't know which would be optimal.

The Solution

Analyze usage patterns to determine which tariff structure delivers lowest costs.

Capabilities

How Fiskil Helps

Tariff Structure Comparison

Model costs under flat rate, time-of-use, and demand tariffs using actual usage.

Peak Usage Analysis

Identify if usage concentrates in peak or off-peak periods.

Demand Pattern Assessment

Evaluate if demand-based tariffs would be beneficial.

Behavior Recommendations

Suggest usage timing changes to maximize tariff savings.

Implementation

How It Works

1

Connect Energy Account

Access customer usage data including interval data if available.

2

Analyze Usage Timing

API analyzes when energy is consumed (peak vs off-peak vs shoulder).

3

Model Tariff Scenarios

Calculate costs under different tariff structures using actual usage.

4

Recommend Optimal Tariff

Identify tariff structure with lowest cost and quantify savings.

Ready to get started?

Get your API keys today and start building with Fiskil's Energy API.

FAQs

Flat rate, time-of-use (peak/off-peak/shoulder), demand-based, and controlled load tariffs.

Smart meters enable most accurate analysis, but daily usage data can still provide valuable insights.

Yes, if usage concentrates in peak periods. Analysis identifies this before switching.

Analysis factors in both import and export patterns to optimise total tariff structure.

Yes, system can model savings from shifting usage to off-peak periods (e.g., running pool pump at night).

Annually or when usage patterns change significantly (solar installation, EV purchase).

Demand pattern analysis identifies if demand tariffs would be more economical than usage-based tariffs.

Get started today

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