I was nervous when I first embarked on my journey at STACC. Joining such a reputable company without professional experience in Python or large-scale, dynamic data pipelines felt like stepping into uncharted territory. However, my apprehensions were quickly dispelled as I experienced the warmth of the welcome, the thoroughness of the introduction, and the immediate
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
I’d already had an interest in data science for multiple years when I graduated from a computer science Bachelor’s program. I took all the relevant Bachelor-level courses available and learned a bit on my own as well. So naturally, once I graduated, I started looking for a job as a data engineer or data scientist.
Even before starting my studies as a Mathematical Statistics student, I had a clear goal in mind – to get an internship as early as possible. My aim was to become a Data Scientist, and my school program focused mainly on theoretical mathematics skills and statistical methods. Still, an internship would provide me with an
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
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