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The upgraded version of the Solcast API, only available for now via contacting sales@solcast.com.au, contains a hugely-expanded set of 30+ data parameters!

Actually, it's 5-minute #solar data from the Solcast API, made by tracking cloud movements minute-by-minute, globally!

Solcast day-ahead irradiance and power forecasts are now improved by 15% to 35%

Solcast API Toolkit users can now access Solcast TMY data directly from within SAM through the use of a new software script. This script is available on GitHub. This short tutorial will show you how to import and use Solcast TMY data.

We have updated our Time Series data access to a monthly subscription model. This means no lock-in contracts, and also means we've introduced a new four tier system, so you can match a suitable price with your unique requirements.

O&Ms and monitoring & analytics companies are using satellite-derived irradiance data, at increasing scale

Solcast TMY data is now available directly from within PVsyst. Plan your next solar project with confidence (& free data!)

New Ways to Access High Quality TMY and Monthly Averages Data, Affordably and with No Long-term Commitments

Solcast presents the results of a two year project developing and refining short-term nowcasting solutions for solar farms and the Australian energy sector

Do you love podcasts? We do! Now you can combine your interest in Solcast with the wonderful world of podcasting.

Greece operates a 10GW peak load system, with nearly 17GW of capacity online as of 2017. As a result, changes in the day ahead and intraday markets have been introduced. These make solar energy forecasts highly important for maximising revenue and minimising penalty.

Solcast has an established history of collaboration with load forecasting tech company, TESLA Forecast. Together, we're taking on the next generation of rooftop solar challenges in South Australia. Learn more in our case study.

An innovative live demonstration of gridded, automatic renewable generation forecasts in South Australia (SA) is set to lead the way for a national roll-out of next generation energy forecasting.

Your team's investment of time and energy into your solar project are by no means the 'default' level of effort. You've worked hard to make your solar farm a reality. So why would you choose the 'default' option when it comes to your weather/meteo data file?

The key limitations of Meteonorm's representativeness lie within the use of 1) interpolated and 2) synthetic data. Interpolations rely heavily on surface observation data, which are not equally distributed. Synthetic estimates are useful when high quality direct observational data does not exist. However, given the presence of a global fleet of high resolution weather satellites that directly image cloud cover - this is not the case.

Browse animated solar radiation maps in your area of interest - updated daily! Includes a history, broken down by date with global coverage. It's our new solar radiation map archive and it's totally rad.

"We enjoy a considerable amount of hot and sunny weather in Malaysia but we also have very low cloud cover. The other challenge is of course electricity generated must be used immediately." -TNB Chairman Tan Sri Leo Moggie-

We're committed to maintaining an industry-leading solar resource dataset, with a continuous company focus on improving the accuracy of our data. In this post, we explore the new 150m² elevation grid.

"Despite the fact that solar power is a valuable capacity addition to the power system which is facing difficulties in power supplies, a large number of solar power plants coming into operation in a short period have been causing many challenges to the operation of power system." - EVN NLDC.

Solar power forecasting is becoming essential for successful grid integration in Ukraine. Accurate forecasts can help with day-ahead bidding of power, by allowing larger bids and/or reducing imbalance or accuracy penalties.

Don't be a forecast validation super-hero. Just get the job done. Three time and sanity saving tips from our CTO.

Owners and operators of solar farms already have one too many things to think about. Compliance items stack up by the thousands very quickly. Utilities providing their network connections can impose new requirements without warning. Manufacturers of key components can go bankrupt and leave you without an important spare part! Don't let setting up solar forecasting technology at your asset be another pain-point. Use the Solcast API Toolkit!

The principal input to the rate of return calculation for a solar farm asset is the expected revenue generation from the solar farm. This highlights the importance of high quality solar irradiance data: revenue generation is primarily influenced by the availability of solar irradiance at that location over time.

Through creation of customised Solcast Grid Aggregations for the behind the meter solar installed downstream of a particular zone substation, this distribution network was finally able to correct the apparent (net) demand profiles for the impacts of cloud cover.

Why are solar power forecasting technologies important for energy markets?

What do going to the gym and purchasing historical solar radiation data online have in common? Price (in)flexibility!

Now that you have your FREE Solcast data credits - we suggest you download your own sample TMY or historical Time Series file. This only takes a matter of minutes to achieve through the Solcast API Toolkit, and in this post, we're going to show you how!

Learn about how the Eclipse X solar car team uses solar forecasting in its race strategy!

Solar GIS data includes both a given location (latitude and longitude), plus time-series information (attribute) about the historical, live or forecast solar irradiance and weather at that location.

Solar power forecasting is at its core a weather forecasting problem. It starts with modeling of the Sun's position with respect to a given location at the Earth's surface, before then modeling the transmittance of solar radiation through the Earth's atmosphere.