Meteomatics solar power forecasts - site specific and regional product image in hero

Meteomatics solar power forecasts - site specific and regional

Meteomatics
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Solar forecast API query
Capacity
Tracking types
Tracking types
Tracking types
Tracking types
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Request Data Sample
Avail. Formats
.json, .xml, and .csv
File
Coverage
240
Countries
History
41
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
Solar forecast API query
solar_power<specifications>:<unit>
Capacity
The installed capacity in MW, defaults to 1 MW. Specified as
Tracking types
tracking_type_fixed
Tracking types
tracking_type_azimuth-tracking
Tracking types
tracking_type_tilted-north-south-tracking
Tracking types
tracking_type_full-tracking

Description

Meteomatics already provides hyper-localized and accurate solar forecasts across the globe (kW & MW). Meteomatics uses sophisticated data science schemes to create solar power forecasts at 90-meter resolution and 5-minute timesteps
Available parameters include radiation, solar inclination, effective cloud cover, downscaled temperature, snow depth, direct and diffuse radiation and many more. Meteomatics API also features a shading algorithm that is helpful in resolving the effect of topographical features (such as mountains) on the direct radiation. Thereby, allowing customers to observe and mitigate the impacts of power slumps due to reduced solar energy production. Meteomatics also offers users the opportunity to detail their panel specifications in the API, such as panel tilt, panel orientation, and a number of tracking schemes are supported; including full-tracking or azimuth tracking. This gives users the opportunity to significantly improve the accuracy of their power output predictions and they can also test the impact by specifying their panel details within the API before implementing and running a forecast.

Geography

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

41 years of historical data

Pricing

Free sample available
Meteomatics has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
REST API
Frequency
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json
.xml
.csv
.xls
.txt

Use Cases

Weather Observation
Energy Usage Management
Weather Analytics
Energy trading
Solar energy forecasters

Categories

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Frequently asked questions

What is Meteomatics solar power forecasts - site specific and regional?

Meteomatics already provides hyper-localized and accurate solar forecasts across the globe (kW & MW). Meteomatics uses sophisticated data science schemes to create solar power forecasts at 90-meter resolution and 5-minute timesteps

What is Meteomatics solar power forecasts - site specific and regional used for?

This product has 5 key use cases. Meteomatics recommends using the data for Weather Observation, Energy Usage Management, Weather Analytics, Energy trading, and Solar energy forecasters. Global businesses and organizations buy Solar Energy Data from Meteomatics to fuel their analytics and enrichment.

Who can use Meteomatics solar power forecasts - site specific and regional?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Solar Energy Data. Get in touch with Meteomatics to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Meteomatics solar power forecasts - site specific and regional go?

This Tabular Data has 41 years of historical coverage. It can be delivered on a minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does Meteomatics solar power forecasts - site specific and regional cover?

This product includes data covering 240 countries like USA, China, Japan, Germany, and India. Meteomatics is headquartered in Switzerland.

How much does Meteomatics solar power forecasts - site specific and regional cost?

Pricing information for Meteomatics solar power forecasts - site specific and regional is available by getting in contact with Meteomatics. Connect with Meteomatics to get a quote and arrange custom pricing models based on your data requirements.

How can I get Meteomatics solar power forecasts - site specific and regional?

Businesses can buy Solar Energy Data from Meteomatics and get the data via REST API. Depending on your data requirements and subscription budget, Meteomatics can deliver this product in .json, .xml, .csv, .xls, and .txt format.

What is the data quality of Meteomatics solar power forecasts - site specific and regional?

You can compare and assess the data quality of Meteomatics using Datarade’s data marketplace. Meteomatics appears on selected Datarade top lists ranking the best data providers, including 10 Best Data Providers for Weather-Triggered Advertising and Who’s New on Datarade? .

What are similar products to Meteomatics solar power forecasts - site specific and regional?

This Tabular Data has 3 related products. These alternatives include CustomWeather Solar Energy Data Historical Weather Data 40 Year Archive Of Hourly and Daily Historical Solar Data Global Coverage, Energy and Resource Data ESG Data 14000+ Companies 7 Years Historical Data GIST Impact, and Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country. You can compare the best Solar Energy Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request