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Energy consumption households; energy commodities, 1975-2016
Energy consumption of hard coal, lignite, petroleum products, natural gas Gas/diesel oil, electricity, heat
Statistics Netherlands invests in Spark to process big data
Over the next few months, Statistics Netherlands will invest in a new computer system: Spark
Renewable energy; final use and avoided use of fossil energy, 1990-2013
Avoided use of fossil primary energy and avoided emission of CO2 wind, solar, hydro, geothermal energy, aerothermal heat and biomass
Climate data De Bilt; temperature, precipitation, sunshine 1800-2014
Temperature Precipitation Sunshine periods
Economic growth Eindhoven above average
Economic developments in Eindhoven over 2016.
Energy consumption transport; energy commodities, 1955 - 2013 2nd quarter
Energy consumption petroleum products Natural gas, electricity
First Departmental Data Centre launched
Statistics Netherlands (CBS) and the Dutch Ministry of Economic Affairs launched the ‘CBS/EZ Departmental Data Centre’
Statistics Netherlands invests in Spark to process big data
Over the next few months, Statistics Netherlands (CBS) will invest in a new computer system: Spark.
Urban Data Centre launched for Groningen region
CBS and Groningen city are launching joint activities involving the collection, processing and presentation of data
Energy intensities of buildings of the services sector
Providing insight in the average gas and electricity consumption of buildings in the services sector. Energy efficiency indicators are needed to monitor energy efficiency policies.
Energy consumption energy sector; energy commodities, 1967-2013 2nd quarter
Energy consumption of hard coal, lignite, crude, natural gas Petroleum products, renewable energy, waste, electricity, heat
Energy consumption industry (no energy sector);energy commodities,1975-2012
Consumption of energy Industry of hard coal, lignite, crude, natural gas Petroleum products, renewable energy, waste, electricity, heat
Big data innovation at CBS/UT DataCamp
The aim of the annual DataCamp event is to find solutions for complex issues by using big data.
Big data innovation at CBS/UT DataCamp
The aim of the annual DataCamp event is to find solutions for complex issues by using big data
Automatically detect solar panels with aerial photos
Solar power is an important renewable energy source. This article explains the research conducted by Statistics Netherlands to map the numbers and locations of solar panels more accurately using deep...
International trade; imports and exports, SITC 3, country, 1996-2017
Import and export value of goods; according to SITC classification (3 digit) and country (groups).
Energy balance sheet; supply, transformation and consumption, 1995-2013
Energy commodities reported into petajoules (PJ) and physical units by energy consumers and balance sheet items.
Energy balance sheet; key figures, 1946-2016
Coal and products, crude oil feedstocks and products, other commodities Indigenous production, im- and exports, bunkers, stock changes
Deep learning for solar panel detection
How to improve the estimate of the total amount of solar energy generated in the Netherlands. One of these projects is Deep Solaris. In this project, we evaluated several Deep Learning methods to...
Standard International Trade Classification (SITC 3)
The SITC is a UN classification that makes it possible to compare of foreign trade statistics internationally. The most detailed level of the SITC is the 5-digit classification.
Energy consumption; components, branch, 2011-2016
Energy consumption, supply, transformation, final consumption, delivery Energy commodities, natural gas, electricity, renewable, oil, companies
Expenditure brief (level 3); by household characteristics, 1992-2010
Average spendable amount, household characteristics and distribution channels by expenditure of households (level 3)
Motor fuels for transport;delivery weight, volume, 1946-Aug 2016
Deliveries for final consumption and bunkers of motor fuels for road transport, water transport and air transport