What is Energy Software?
Is used for energy outage prediction and surpluses of energy, generates savings and additional income.
Weather Software uses observational data from national weather services supported by additional data (Doppler radar, radiosondes, satellites, buoys, aircraft probes) feeding numerical weather prediction models which use physical equations, along with actual weather data, to provide the most accurate forecast.
Business context is included within the model code in certain procedures, mainly related to climatological features, analogically to geospatial characteristics described by topography. Having better quality of forecast benefits with optimisation of decision making process linked to critical weather conditions prediction as an extremely high or very low temperature or flash floods rainfall episodes.
Why Do You Need Weather Forecasting Software?
Successful energy production and storage demands real-time insights and smart, automatic advisory.
In energy and renewables, being on time with energy supply related to market demand means savings or additional income. Omitting black outs and unuseful surplus of energy provided to the energy grid is a must. Finding the best weather software provider is crucial to run a stable and effective business.
Where We Need Weather Forecasting Software?
Wind energy production
Power grid optimization
Solar panel users
Benefits of Weather Software Development
Weather solutions have wide-ranging uses and their numerous benefits are just as diverse.
Weather software enables companies to make choices with the most thorough, correct, and up-to-date information possible. Knowledge about available solar panel energy for the next days is crucial for the energy grid management.
Energy grid operators use weather software to reduce the risk of black outs related to very high resistance of cables related to extremely high temperatures. Detailed knowledge about predicted weather conditions is crucial for grid exploitation parameters set-up.
Organising weather dependent warnings for the industries which has open air processes in a clear way instead reading raw data across numerous dimensions & values, freeing resources for more important tasks and generating savings for the factory.
Automation and Safety
With weather-enabled software, tasks like location-based warnings for high demands of energy for electrical heating devices in winter conditions save lives and money especially in a climate change epoque which makes the weather much more unpredictable.
What Do You Need To Develop Weather Applications?
Weather technology is highly useful, but it can’t be carelessly added to an application on a whim.
For a start, there is a wide range of weather solutions, from software, libraries to tools and data sources. These decisions need to be accounted for at the start - and for that, you need an experienced weather software development company.
We’ll understand your core business needs and understand the exact data that you need for your objectives. Then, we create applications and software designed around this core functionality, ensuring a final product that’s easily read and used by users, whether it’s external customers or internal teams.
How Do We Develop Weather Applications for the Energy Sector?
If your project is particularly ambitious, we can recommend a proof of concept to help ensure the viability and feasibility of the final solution, as well as prototyping to identify opportunities for improvement before release.
In addition to the usual product design elements, we also need to consider which weather tools we will use, in order to ensure compatibility with the rest of our choices. We will find out what are the needs and requirements for a client and design the best integral solution.
The Initial Framework
All apps start with an initial framework - this is where we add core functionalities, like login, and basic views, UI, GUI functions, etc.
Algorithms implementation for energy clients
Now to add weather sources and algorithms. Here we implement the data sources & tools chosen in step 1. Data is imported or called through API. We also add wrappers and other efforts to ensure smooth, compatible performance. We will examine our Checking Algorithm Data best available data sources forecasting, taking into account the location of the customer's system. We will launch a Data Selection Algorithm that Selects the best set of input data which will consist of a personalised forecast for the locations defined by the customer's system.
Create the App Tools/Weather Components for Energy client
With both the basic app structure and the relevant data sources ready, we can refine our tools, maps and components. This is where we can also add attributive data, to better show the information we want to present within the app. We will focus on energy sector needs and requirements defined within the first step,obviously main of them are: power demand, heating demand, OZE productivity predictions.
Add Objects, Overlays & Layers
With the tools and data ready, we can now add other data and information sources which we need for the final product to be user-friendly. This is where the data-heavy interfaces, tables, graphs and maps are refined and focused.
Test, Refine & Repeat
We have a dedicated QA team. If results don’t meet our high standards, we refine them as much as necessary. It doesn’t launch until we know it fully meets the quality we promise.