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setld Total Energy and Mining Metrics Data Product (TOTEMM)

by SETLD
setld Total Energy and Mining Metrics Data Product (TOTEMM) is global geospatial data that includes: ... setld Total Energy and Mining Metrics Data Product (TOTEMM) is the first Competitive and Market Intelligence
Available for 249 countries
100M Elasticsearch Documents Stored
100 years of historical data
100% Innovation
Starts at
$10,000$9,500 / purchase
5% Datarade discount
Free sample available
33% revenue share
datarade.ai - CustomWeather profile banner
CustomWeather
Based in USA
CustomWeather
We provide industry-leading weather solutions to a wide range of industries that value quality, customer service, and data accuracy. As a leader in technolog...
85
Languages
Over 80K
Locations
20 Years
of Industry Leadership
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Meteomatics
Based in Switzerland
Meteomatics
Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. A single API endpoint to acce...
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Research and Markets
Based in Ireland
Research and Markets
30,000+ companies rely on Research and Markets for their market research
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SETLD
Based in USA
SETLD
We empower our clients to reduce risk and make better and more profitable decisions. We deliver broad, sustainable, game-changing automated information solut...
Cost
- Cost Effective
Utility
- Enriched and Updated Answers
Easy
- Clean Data and Interfaces
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Earthmetry
Based in India
Earthmetry
Earthmetry accelerates the transition to sustainable use of our planet’s resources by enabling data-driven decision-making. Through our Signals platform, we ...
15+
Datasets for India
100%
ESG focused
Rystad Energy
Based in Norway
Rystad Energy
Rystad Energy is a data provider offering Oil & Gas Data, Oil Refinery Data, Research Data, Solar Energy Data, and Wind Power Data. They are headquartered in...

The Ultimate Guide to Solar Energy Data 2021

Learn about solar energy data analytics, sources, and collection.

What is Solar Energy Data?

Solar energy data is a sub-category of energy data. This data provides information on the solar energy industry. Details about the performance, metrics and other factors concerning the energy industry are included in solar energy datasets. Solar energy data is vital to investors or major stakeholders in the energy industry, as a means of performance measurement. It is also useful as a metric for decision-making in the solar energy industry.

How is Solar Energy Data collected?

Solar Energy Data collection occurs in a similar way to how other forms or sources of energy are documented. Collection of solar energy data is usually conducted on solar farms. The data has to be collected in forms of solar potential data and solar radiation measurements. It is also collected in the form of output statistics from prior times. This data is collected on a daily basis, for a specific and long period of time. Collection methods depend on the scale of the solar energy infrastructure, hence most times it is a combination of both sectors. Collection can be carried out by individuals or by government-funded research institutes.

What are the attributes of Solar Energy Data?

Some of the attributes of solar Energy Data include the following:

Electricity transmission: solar energy data details the channels through which electricity generated by solar sources is transmitted.

Frequency of power outages: this documents how frequently power outages occur when the primary source of electricity is solar energy. It measures performance and reliability.

What is Solar Energy used for?

Solar energy data is essential in both the public and private sector, as it enables them to gain intelligence on their individual consumption of solar energy. Solar energy data is used to determine how efficient solar energy consumption is. For the public sector, the governments and public enterprises use solar energy data in their digitalisation of a nation’s source of electricity. It is also a means to monitor the diversification of a country’s energy sector and implement solar energy. Solar energy data is crucial in the planning and implementation of solar energy infrastructure and policies.

How can a user assess the quality of Solar Energy Data?

The first step in identifying the quality of solar energy data is to confirm its source. Solar energy data should always come from a data provider with a background in the energy industry, as well as scientific experience.

Data from public vendors or suppliers is also subject to scrutiny. This is because their analytics are based on the conclusions of individual research, so aren’t always reliable. Look to see if your solar energy data provider has considered external factors, such as weather patterns, for their solar energy data analysis.

Who are the best Solar Energy Data providers?

Finding the right Solar Energy Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Solar Energy Data providers that you might want to buy Solar Energy Data from are CustomWeather, Meteomatics, Research and Markets, SETLD, and Earthmetry.

Where can I buy Solar Energy Data?

Data providers and vendors listed on Datarade sell Solar Energy Data products and samples. Popular Solar Energy Data products and datasets available on our platform are CustomWeather - Global Historical Hourly Solar Data - 40 Years by CustomWeather, Meteomatics solar power forecasts - site specific and regional by Meteomatics, and setld Total Energy and Mining Metrics Data Product (TOTEMM) by SETLD.

How can I get Solar Energy Data?

You can get Solar Energy Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Solar Energy Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Solar Energy Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Solar Energy Data?

Solar Energy Data is similar to Oil & Gas Data, Fuel Data, and Wind Power Data. These data categories are commonly used for .