CorrentlyEnergy APIs

Key Features

• Localized Electricity Prices: Retrieve electricity prices specific to a region by simply providing a ZIP code, offering insight into how prices vary geographicall
• Market Prices: Access general market prices for electricity (EUR/MWh) to compare with localized data and gain a broader market perspective.
• Time-based Price Data: Get electricity prices for specific time intervals with timestamps, allowing for time-sensitive energy optimizations.
• Support for Energy Optimization: Leverage local and market pricing data for cost-saving opportunities and demand response strategies.
• Real-time & Forecasted Data: The API provides data for current and upcoming intervals, helping users optimize their energy usage.

Designed for

• Energy Management Providers: Use the API to offer smarter energy solutions for residential or commercial customers by incorporating real-time pricing data.
• Renewable Energy Companies: Integrate localized price data into scheduling and optimization tools for solar or wind power consumption.
• Smart Home Developers: Enable smarter energy management by dynamically adjusting home appliances or energy storage systems based on current or forecasted electricity prices.
• Businesses & Enterprises: Optimize energy consumption strategies by using the API to track electricity prices and adjust usage accordingly to save costs.

Key Features

• Hourly Green Energy Forecasts: The API provides forecast data for each hour, helping users to understand the expected share of renewable energy in the grid. This includes data on wind and solar energy, as well as the overall percentage of green energy (GrünstromIndex value).
• CO₂ Emissions: For each forecast period, the API delivers CO2 emissions data in grams per kWh, both for the standard electricity mix and for green energy (Ökostrom). This enables users to monitor and manage their carbon footprint in real time.
• Energy Pricing: Users can retrieve dynamic energy prices per kWh, allowing businesses and individuals to align their energy consumption with periods of lower energy prices, especially during times when renewable energy is more abundant.
• Location-Specific Data: The API is designed to provide forecasts based on location, with ZIP code and city data included in the forecast. This location-based approach ensures accurate and tailored forecasts for different regions.
• Data Integrity: The API includes digital signatures for verifying the authenticity and integrity of forecast data, ensuring that the data has not been tampered with and is reliable for decision-making.

Designed for

• Energy Optimization: Energy management systems can use the forecast data to schedule energy-intensive activities during periods of higher green energy availability, reducing reliance on fossil fuels and lowering CO2 emissions.
• Sustainable Business Practices: Companies aiming to achieve sustainability goals can utilize the GrünstromIndex data to ensure that their energy usage is aligned with the highest availability of renewable energy, thus decreasing their overall environmental impact.
• Cost Savings: By taking advantage of dynamic energy pricing, businesses and consumers can lower their energy bills by aligning consumption with times of lower energy prices, which often coincide with higher renewable energy supply.

Hintergrundinformation in Deutscher Sprache.

Key Features

• 24-Hour Forecast: Access hourly data on CO2 levels, helping users plan energy consumption more efficiently.
• Traffic Light System: The API offers advice on energy use based on CO2 levels—green (increase load), yellow (maintain load), and red (decrease load)—to help minimize environmental impact.
• Location-Specific Data: Results are tailored to individual cities or villages in Germany, using postal codes for precise location targeting.
• User Guidance: Provides actionable insights to reduce CO2 emissions, improving sustainability in energy consumption practices.

Designed for

• This API is ideal for individuals, businesses, and energy management applications seeking to align energy use with greener times of day, reduce carbon footprints, and improve sustainability practices.

Key Features

• Energy Mix Breakdown: Provides a detailed percentage-based breakdown of renewable energy sources (e.g., solar, wind, biomass, etc.) contributing to the local energy supply.
• Energy Dispatch Tracking: Displays where energy is being sourced from and where it is delivered to, including percentages of energy flows between cities.
• Geospatial Data: Includes geographic coordinates of energy sources and dispatch locations for map-based analysis and visualizations.
• City/Postal Code-Based Queries: Users can request data for specific cities by entering the postal code, making the API easy to use for localized energy analysis.

Designed for

• Energy Providers and Utilities: To optimize energy dispatch and understand renewable energy contributions for grid management.
• Urban Planners: To analyze energy consumption patterns and improve city infrastructure planning based on local renewable energy availability.
• Environmental Analysts: To monitor and report on renewable energy usage and carbon reduction efforts at a local or regional level.
• Sustainability Managers: To track energy flows and ensure organizations are sourcing renewable energy in line with their sustainability goals.

Key Features

• Real-Time Fuel Price Data: Access live fuel prices from local stations, including the station’s name, brand, and address.
• Electricity Pricing: Get the average electricity cost per kWh for your location.
• CO2 Emissions Comparison: Understand the environmental impact by comparing CO2 emissions for fuel and electricity consumption.
• Price and CO2-Based Recommendations: The API provides clear advice on whether charging or fueling is the better option based on cost and emissions.

Designed for

• PHEV Drivers in Germany: Individuals who want to optimize their driving choices between charging and fueling.
• Sustainability-Conscious Drivers: Drivers aiming to minimize their carbon footprint by understanding the CO2 impact of their decisions.
• Fleet Managers: Businesses managing PHEV fleets that want to track and reduce fuel costs and emissions for their vehicles.
• Developers: Application developers who want to integrate real-time fuel and electricity data into their mobility, navigation, or energy optimization solutions.