Energy Data

Energy data refers to historical, real-time, and predictive analytics on aspects such as energy consumption and possible power outages. It can be used to plan and optimize the application of renewable energy sources and smart energy management among other things. Learn more →
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Our Data Partners
Axiom EMI Oil & Gas and Renewables Data Energy (Global): Transition Advisory Services 249 countries covered icon
249 countries covered
We provide a flexible, single-source market intelligence solution for the offshore energy transition.
Energy Performance & Consumption Data | Worldwide Public Companies ESG data | Datacie ESG 249 countries covered icon
249 countries covered
Energy Performance & Consumption Data | Worldwide Public Companies ESG data | Datacie ESG 7 years of historical data icon
7 years of historical data
Extensive dataset on the world companies’ energy performance, including energy consumption breakdown by source and renewability along with consumption intens...
Earthmetry Electricity Generation Data in India | by state and energy source  India covered icon
India covered
Earthmetry Electricity Generation Data in India | by state and energy source  4 years of historical data icon
4 years of historical data
Monthly with 2 month lag. Contains monthly state-level generation by energy source. for India. Energy sources include: Conventional (coal, gas, diesel, hydro...
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GasBuddy
Based in USA
GasBuddy
GasBuddy is a data provider offering Automotive Data, Consumer Behavior Data, Consumer Lifestyle Data, Diesel Price Data, and 7 others. They are headquartere...
Tankerkönig
Based in Germany
Tankerkönig
Tankerkönig is a data provider offering Diesel Price Data, Fuel Data, Gasoline Price Data, Gas Station Data, and Petrol Price Data. They are headquartered in...
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...
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The Ultimate Guide to Energy Data 2021

Learn about energy data analytics, sources, and collection.

What is Energy Data?

Energy Industry data provides information about energy generation, distribution and consumption. Energy data can encompass various sources of energy, including electrical, gas, oil, renewable and nuclear. It is collected using a range of methods, from domestic meter readings to satellite imagery of electricity grids. You might buy energy data to forecast power outages and surges, or to track trends in the energy industry, such as the increased use of bio-fuels and green vehicles.

Who uses Energy Data and for what use cases?

Energy data is useful for both private and public organisations to ensure their energy consumption is as efficient as possible. Governments can use it to digitalise a country’s electricity grid, and to incentivise responsible energy usage by benchmarking one organisation’s consumption against another. Energy data is crucial in planning the construction of power stations or solar and wind farms, where land and climate conditions must be taken into account.

Increasingly, renewable energy suppliers and ‘green’ start-up companies rely on data from the extractive industry so that they can quantify how much of our energy is generated from oil and gas, and ensure that their sustainable alternatives can meet that demand.

What are typical Energy Data attributes?

Attributes of Energy Data can include, but are not limited to:

  • Source of energy (e.g. oil, gas, electrical, renewable)
  • Electricity transmission
  • Solar potential
  • Payments taken for mineral resources
  • Frequency of power outages
  • Building efficiency

How is Energy Data typically collected?

In short, this depends entirely on what information the data provides. For example, household meter readings and supplier bills are sufficient to collect domestic energy data. To collect data from a solar farm, however, solar radiation measurements, solar potential data and previous photovoltaic output statistics have to be collated daily for an extended period of time. Collection methods depend on the technology required to collect the data, and whether collection can be carried out by citizens or is restricted to government institutes.

How can the quality of Energy Data be assessed?

The first step in ascertaining the quality of an energy dataset is to establish where the data vendor got the data from. For example, only companies working in EU countries, the UK, Norway and Canada are legally required to disclose all extractive industry payments, meaning data about oil and gas mining provided by companies working elsewhere may not be accurate.

Likewise, even the data collected from public records is subject to the data vendor’s analysis, so the reliability of the vendor should also be assessed. This can be done by researching how thoroughly they consider external factors. For data about hydroelectric energy, this would mean considering rainfall and temperature measurements, the possibility of natural debris in the dam, how often the generator is maintained and the demand for power in that vicinity. The more factors considered, the better quality the data is likely to be!

Even if all of these steps to ensure quality data are taken, data can always run out of date. With global climates experiencing increasingly frequent and extreme changes, it’s vital that datasets affected by weather conditions and changing landscapes are updated regularly. Similarly, energy data from developing countries may not be representative of the current situation unless it has been collected very recently.

How is Energy Data typically priced?

Again, this normally depends on what information the data provides! In general, pricing models for energy tend to be in the form of a licence or subscription service more often than CPM, meaning data buyers should consider what kind of licence or level of subscription they would need to buy. The cost of energy data increases if the buyer intends to re-use or re-sell the data. A commission fee may also apply if the transaction is facilitated by a data marketplace, although some marketplaces, like ElectriCChain, are decentralised, and so their data is openly available.

What are the common challenges when buying Energy Data?

Oil and gas companies generate trillions of dollars annually. As such, it’s not always in their best interest to disclose data which might threaten profitable extractive projects, which causes obvious problems for anyone who wants access to energy industry data.

Elsewhere, energy data collection often relies on citizen contributions. Unless citizens have access to the required technology, like satellite imagery, this data can be of limited use to a buyer who needs detailed, high-quality data.

What should you ask Energy Data providers?