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Wind Power Data

Wind power data is information about wind energy and wind farms, manufacturers, turbine operators, and future development of the wind energy industry. It is used to measure wind energy output, usage and performance, so that wind energy runs as efficiently as possible.

Top Wind Power Data APIs, Datasets, and Databases

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India Electricity State Monthly Generation by Energy Source

by Earthmetry
Monthly with 2 month lag. Contains monthly state-level generation by energy source. for India. Energy sources include: Conventional (coal, gas, diesel, hydro, nuclear) and Renewable (Solar, Wind, b...
Country
India
History4 years of past data available
Use CaseAlternative Investment, ESG Performance Analysis
Available Pricing:
Monthly license
Yearly license
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India Electricity Daily Consumption State Detailed

by Earthmetry
Metrics: Energy units consumed, peak load, shortage during peak load, energy units estimated shortage Breakup of own generation by source vs purchase schedule from bilateral, national-controlled o...
Country
India
History1 years of past data available
Use CaseESG Performance Analysis, ESG Investing
Available Pricing:
Monthly license
Yearly license
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Meteomatics Weather API

by Meteomatics
The Weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. It allows the integration of high quality, hyperlocal weather forecasts into all...
Volume288 updates daily, 90 meters resolution
Country
USA
China
Japan
+ 246 others
History41 years of past data available
Use Casefuel efficiency estimates, Demand Forecasting + 3 more
Available Pricing:
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Top Wind Power Data Providers, Vendors, and Companies

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Based in Switzerland

Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. A single API endpoint to access weather and earth data covering the g...

Based in Singapore

Genesis Ray Energy is a clean energy-focused research, analytics and consulting startup based in Singapore and India.

Based in India

Earthmetry accelerates the transition to sustainable use of our planet’s resources by enabling data-driven decision-making. Through our Signals platform, we bring you in-depth datasets and insights...

Based in Norway

Rystad Energy is a data provider offering Oil Refinery Data, Solar Energy Data, Wind Power Data, Oil & Gas Data, and Research Data. They are headquartered in Norway.

Based in United States of America

Enverus is a data provider offering Solar Energy Data, Wind Power Data, and Oil & Gas Data. They are headquartered in United States of America.

Based in United Kingdom

IHS Markit is a data provider offering Wearables Data, Pharma Data, Healthcare Marketing Data, Custom Audience Data, Solar Energy Data, Wind Power Data, Oil & Gas Data, Agricultural Data, Telemedic...

Based in United Kingdom

MeteoGroup is a data provider offering Water Data, Solar Energy Data, Wind Power Data, Oil & Gas Data, Weather Data, Marine Traffic Data, and Research Data. They are headquartered in United Kingdom.

Based in Germany

Statista is a data provider offering Hotel Rates & Pricing Data, Online Purchase Data, Electric Vehicle Charging Stations Data, Merger & Acquisition Data, Wind Power Data, Research Data, and Wearab...

The Ultimate Guide to Wind Power Data 2020

Learn everything about Wind Power Data. Understand data sources, popular use cases, and data quality.

What is Wind Power Data?

Wind power data is a sub-category of energy data. It is data that provides information about energy generated from wind. Wind is a viable source of natural energy, and wind power data details all factors concerned with wind power, such as turbines, wind farms, manufacturers, developers, owners, operators as well as users of wind power. The data contains measurements on the effectiveness of wind power, as well as the usage and performance metrics. Wind power data also contains information and intelligence on future developments for renewable energy.

How is Wind Power Data collected?

Wind power data, like many other naturally powered energy sources, is collected primarily through stats from thousands of users and organizations, such as wind power providers and operators. Wind turbines contain monitors called devicemasters, and these do the function of data gathering and measuring the electricity amount that is being generated. The data also extends to the energy being transmitted. The measurements and usage observations are collated and contributed to databases for further analysis. Public records can be access from a country’s energy department as well. Public records include publications, analysis, and energy sustainability reports.

What are the attributes of Wind Power Data?

Wind power data can be challenging to measure and collect. Certain parameters need to be in place for the proper collection, analysis and documentation of this type of information. Wind power data should contain the following attributes:
Transmission of electricity: wind power data contains details on the channels and rate through which wind power is transmitted.
Power outage frequency: the level of electric stability provided by wind power.

What is Wind Power Data used for?

Wind power data is essential for functional sectors in a country, whether they are public or private. It helps to gain intelligence on the total consumption and performance of wind power energy. Wind power data is used by public sector powers and enterprises when it comes to how they digitalize a nation’s electricity sources. Wind power is also a means to diversify a nation’s energy sector, and the data on wind power helps to monitor such a diversification. Wind power data is also crucial in planning and implementing wind power policies and infrastructure.

How can a user assess the quality of Wind Power Data?

To determine the quality of wind power data and for a wind power dataset to be considered of high quality, it must pass certain tests.
First of all, the data must be reliable. It must come from reliable sources that are impartial. Wind power data must also be precise and accurate, and must not contain any errors. Wind power data also has to operate on the basis of timeliness, as energy industry-relevant events are always occurring, and decisions need to be made quickly so that opportunities are not missed.

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