Building Energy Forecasting Models: A Developer’s Guide to Utilizing Energy API for Predictive Analysis

Introduction

In today's fast-paced energy market, the ability to access reliable and timely data is crucial for making informed decisions. Energy traders, data engineers, and sustainability teams face significant challenges when trying to gather and analyze energy market data from various sources. The traditional methods of scraping government portals or stitching together incompatible formats can be time-consuming and error-prone. This is where Energy API comes into play, offering a unified solution that aggregates wholesale energy market data into a single, easy-to-use REST API.

This blog post aims to guide developers through the process of building energy forecasting models using the Energy API. We will explore the key features of the API, provide practical examples, and demonstrate how to leverage its capabilities for predictive analysis. By the end of this post, you will have a solid understanding of how to utilize the Energy API to streamline your energy data needs and enhance your forecasting models.

Why Energy API

The Energy API stands out in the crowded landscape of energy data providers for several reasons:

• Unified Data Source: Instead of dealing with multiple data sources like OMIE, ENTSO-E, and EIA, the Energy API provides a single normalized REST surface. This means developers can access a wide range of energy data without worrying about different formats, schedules, or naming conventions.
• Comprehensive Coverage: With over 39 symbols across six commodity categories—electricity, gas, oil, coal, carbon, and carbon intensity—the Energy API offers extensive market coverage. This allows developers to query multiple commodities in a single API call, saving time and reducing complexity.
• Rich Endpoints: The API features 16 endpoints that cover everything from spot prices and historical series to intraday curves and cost estimates. This breadth of functionality enables developers to build robust applications that can analyze and visualize energy data effectively.
• Rapid Development: The consistent JSON schema across all commodities means that developers can ship features in hours rather than weeks of ETL work. This accelerates the development cycle and allows teams to focus on building value-added features rather than data wrangling.

Quick Start

To get started with the Energy API, you'll need to familiarize yourself with the base URL and how to make your first request.

Base URL: https://energy-api.com/api/v1

To authenticate your requests, you will need to include your API key as a query parameter. Here’s how to make your first request to fetch the latest prices for a few energy commodities:

curl -G https://energy-api.com/api/v1/latest \
--data-urlencode "symbols=BRENT_CRUDE,TTF_GAS,EUA_CO2" \
--data-urlencode "api_key=YOUR_API_KEY"

The expected JSON response will look like this:

{
"success": true,
"date": "2026-06-11",
"base": "MIXED",
"rates": {
"BRENT_CRUDE": 74.82,
"TTF_GAS": 38.15,
"EUA_CO2": 67.40
},
"dates": {
"BRENT_CRUDE": "2026-06-11",
"TTF_GAS": "2026-06-11",
"EUA_CO2": "2026-06-11"
},
"currencies": {
"BRENT_CRUDE": "USD",
"TTF_GAS": "EUR",
"EUA_CO2": "EUR"
}
}

In this response, the key fields are:

• success: Indicates whether the request was successful.
• date: The date of the data returned.
• base: The base currency for the rates.
• rates: An object containing the latest prices for the requested symbols.
• dates: The dates corresponding to each symbol's price.
• currencies: The currency in which each symbol's price is quoted.

Core Endpoints

Now that you have a basic understanding of how to make requests to the Energy API, let's dive deeper into some of the core endpoints that are particularly relevant for building energy forecasting models.

1. GET /latest

This endpoint retrieves the most recent price for one or more symbols.

Key Params: symbols (required), base (optional), category (optional)

curl -G https://energy-api.com/api/v1/latest \
--data-urlencode "symbols=BRENT_CRUDE,TTF_GAS,EUA_CO2" \
--data-urlencode "api_key=YOUR_API_KEY"

JSON Response:

{
"success": true,
"date": "2026-06-11",
"base": "MIXED",
"rates": {
"BRENT_CRUDE": 74.82,
"TTF_GAS": 38.15,
"EUA_CO2": 67.40
},
"dates": {
"BRENT_CRUDE": "2026-06-11",
"TTF_GAS": "2026-06-11",
"EUA_CO2": "2026-06-11"
},
"currencies": {
"BRENT_CRUDE": "USD",
"TTF_GAS": "EUR",
"EUA_CO2": "EUR"
}
}

This endpoint is essential for real-time monitoring of energy prices, allowing developers to build applications that react to market changes instantly.

2. GET /historical

This endpoint provides prices for all symbols on a specific past date. If the date falls on a non-publishing day, it returns the most recent value before it.

Key Params: date (YYYY-MM-DD, required), symbols (required), base (optional)

curl -G https://energy-api.com/api/v1/historical \
--data-urlencode "date=2025-09-15" \
--data-urlencode "symbols=BRENT_CRUDE,TTF_GAS" \
--data-urlencode "api_key=YOUR_API_KEY"

JSON Response:

{
"success": true,
"date": "2025-09-15",
"base": "MIXED",
"rates": {
"BRENT_CRUDE": 71.45,
"TTF_GAS": 36.20
},
"currencies": {
"BRENT_CRUDE": "USD",
"TTF_GAS": "EUR"
}
}

This endpoint is particularly useful for backtesting trading strategies and analyzing historical trends in energy prices.

3. GET /timeseries

This endpoint retrieves historical series between two dates, making it ideal for charting and trend analysis.

Key Params: start (required), end (required), symbols (required), base (optional)

curl -G https://energy-api.com/api/v1/timeseries \
--data-urlencode "start=2025-01-01" \
--data-urlencode "end=2025-03-31" \
--data-urlencode "symbols=BRENT_CRUDE,TTF_GAS" \
--data-urlencode "api_key=YOUR_API_KEY"

JSON Response:

{
"success": true,
"base": "MIXED",
"start_date": "2025-01-01",
"end_date": "2025-03-31",
"rates": {
"BRENT_CRUDE": {
"2025-01-02": 76.30,
"2025-01-03": 75.90
},
"TTF_GAS": {
"2025-01-02": 46.80,
"2025-01-03": 47.10
}
},
"frequencies": {
"BRENT_CRUDE": "daily",
"TTF_GAS": "daily"
},
"currencies": {
"BRENT_CRUDE": "USD",
"TTF_GAS": "EUR"
}
}

This endpoint allows developers to visualize price trends over time, which is crucial for forecasting future prices based on historical data.

4. GET /fluctuation

This endpoint provides start and end values, absolute change, and percentage change over a specified period.

Key Params: start (required), end (required), symbols (required), base (optional)

curl -G https://energy-api.com/api/v1/fluctuation \
--data-urlencode "start=2025-01-01" \
--data-urlencode "end=2025-01-31" \
--data-urlencode "symbols=BRENT_CRUDE" \
--data-urlencode "api_key=YOUR_API_KEY"

JSON Response:

{
"success": true,
"fluctuation": {
"BRENT_CRUDE": {
"start_value": 76.30,
"end_value": 75.90,
"change": -0.40,
"change_pct": -0.52
}
}
}

This endpoint is valuable for assessing market volatility and making informed trading decisions based on price fluctuations.

Real-World Use Cases

Now that we've covered the core endpoints, let's explore some real-world use cases where developers can leverage the Energy API to build impactful applications.

1. Price Alert System

Developers can create a price alert system that notifies users when energy prices reach a certain threshold. By utilizing the /latest endpoint, the application can continuously monitor prices and send alerts via email or SMS when specified conditions are met.

2. ESG Dashboard

With the growing emphasis on sustainability, developers can build an ESG (Environmental, Social, and Governance) dashboard that visualizes carbon intensity data. By using the /carbon-intensity endpoint, teams can track emissions and assess their impact on sustainability goals.

3. Cost Calculator

Utilities and energy providers can develop a cost calculator that estimates monthly electricity costs based on usage. By leveraging the /cost-estimate endpoint, users can input their expected kWh usage and receive an estimated cost based on the latest market prices.

FAQ

How often does the TTF gas price update?

The TTF gas price updates daily, reflecting the most recent market conditions. This allows traders and analysts to make timely decisions based on the latest data.

Can I get historical energy prices going back 5 years?

Yes, the Energy API provides access to historical prices for various symbols, allowing users to retrieve data for specific past dates or time series spanning multiple years.

Does the API support multiple currencies?

Absolutely! The Energy API supports multiple currencies, enabling users to specify their preferred currency for price data. This flexibility is essential for international trading and analysis.

Conclusion

In conclusion, the Energy API offers a powerful and efficient solution for developers looking to build energy forecasting models and applications. By providing a unified data source, comprehensive coverage, and rich endpoints, the Energy API simplifies the process of accessing and analyzing energy market data.

Whether you're building a price alert system, an ESG dashboard, or a cost calculator, the Energy API equips you with the tools you need to succeed in the dynamic energy market. Don't waste time scraping data or dealing with incompatible formats—leverage the Energy API to streamline your development process and enhance your applications.

Ready to get started? Try Energy API for free and unlock the potential of energy data for your projects today!