In the quest for a cleaner, greener future, the ability to predict solar panel production allows us to manage energy balance more accurately and efficiently. In Estonia, solar energy contributes around 7% to total energy production in 2022, and the momentum is growing. As the world pivots towards sustainable solutions, accurately forecasting solar energy becomes
The recent Data Science seminar on Sustainable Development featured a presentation by our data scientist, Arko Kesküla, titled “Personalized Optimization in Electric Power Systems.” This presentation highlighted the integration of data science into energy management, offering potential enhancements in electricity consumption. The talk discussed advancements in the field and the possibilities for individuals and communities
From a socio-economics perspective, rural and agricultural life has brought challenges and opportunities. One of the challenges is predicting yields: how do you know when and how much yields will come, and how do you optimize them? The answer may lie in a recent project carried out by STACC and eAgronom.
Does AI increase company profitability? AI (Artificial Intelligence) is a software tool that can perform specific tasks using enormous amounts of data and mathematical algorithms. Artificial intelligence finds patterns in the data and makes predictions and decisions based on them. AI can provide greater efficiency in various work processes and increase profitability. For example, AI
Artificial intelligence systems, known as ‘kratt’* in Estonian, are revolutionizing the way people tackle big, data-intensive, and repetitive tasks by providing faster and easier solutions. The government has a major role in developing these systems, as AI is increasingly being deployed in diverse areas. Estonia’s Heritage Board is one of the cultural institutions that recognizes
Rocketing energy prices and growing energy security concerns have grown the interest in solar and wind production immensely. ROI calculations of these investments rely on a robust assessment of production outcomes and historical energy price data without any realistic outlook to future. Production of renewable energy relies on uncontrollable weather conditions. Incorrect production estimates cause
Rising energy consumption globally is leading to increased demand for renewable energy sources. Efforts to replace fossil fuels with renewables raise numerous issues – high energy prices, the complexity of selling to the grid for renewable energy producers, and increasing frequency volatility in the grid. This instability is largely caused by the unpredictable nature of
In recent years, issues surrounding energy consumption and production have become an important matter for all of us. Optimizing energy consumption is not only beneficial for our budget, but also for the environment. Simple practices such as turning off lights when leaving the house or office are a step in the right direction. To truly make
The advances in information technology allow people to develop accurate machine learning models that can learn from collected data. The application of such models helps to predict the demand for various products, such as goods sold in grocery stores. Retail chains sell a wide range of products which are ordered using different algorithms. One of
Did you know that artificial intelligence can also be used in museums? The Estonian National Heritage Board launched an exciting project called kratt Sälli* whose purpose is to make conducting inventories in museums quicker and more convenient. Due to the large amount of museum objects, it is not feasible for museum staff to thoroughly examine
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