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Nearly 60% of commercial customers are connected to a low-voltage network in Poland with a contractual capacity of more than 40 kW and are assigned a fixed tariff with flat prices for the whole year, no matter the usage volume. With smart meters, more data about how businesses use energy are becoming available to both energy providers and customers. This enables innovation in the structure and type of tariffs on offer in the energy market. Customers can explore their usage patterns to choose the most suitable tariff to benefit from lower prices and thus generate savings. In this paper, we analyzed whether customers' electricity usage matched their optimal tariff and further investigated which of them could benefit or lose from switching the tariff based on the real dataset with the hourly energy readings of 1212 commercial entities in Poland recorded between 2016 and 2019. Three modelling approaches, i.e., the k-nearest neighbors, classification tree and random forest, were tested for optimal tariff classification, while for the benchmark, we used a simple approach, in which the tariff was proposed based on the customers' previous electricity usage. The main findings from the research are threefold: (1) out of all the analyzed entities, on average, 76% of them could have benefited from the tariff switching, which suggests that customers may not be aware of the tariff change benefits, or they had chosen a tariff plan that was not tailored to them; (2) a random forest model offers a viable approach to accurate tariff classification; (3) the policy implication from the research is the need to increase the customers' awareness about the tariffs and propose reliable tools for selecting the optimal tariff. [ABSTRACT FROM AUTHOR]

The European Union (EU) is a global leader in renewable energy, and it is working to maintain this position through setting high standards for itself as well as for its member states in this field. Among the goals set for 2030 in Directive (EU) 2018/2001 and changes published on 14 July 2021 is a 55% reduction in greenhouse gas (GHG) emissions (compared to 20% in 2020). The targets for individual countries vary and depend on the current level of development of renewable energy. This article focuses on evaluation of these targets in the Visegrad Group (V4) countries (Czech Republic, Hungary, Poland, and Slovakia). These are post-Communist countries that have undergone systemic transformations but still face challenges related to sustainable development in renewable energy. This article analyzes the 2030 goals and the prospects of their implementation. Evaluated criteria include greenhouse gas emissions, the share of renewable energy in energy consumption, energy consumption, energy efficiency, and energy intensity. The analyses in this article are based on a literature review, the current energy situation in each country, European climate and energy targets, comparative analyses, and our own forecasts. Our results show that V4 countries would need to revise their policies and funds allocated for green transformation, which, in turn, might change their projections of the EU climate package targets for 2030. These findings might be useful for the EU stakeholders and policymakers responsible for climate policies and implementing renewable energy targets. [ABSTRACT FROM AUTHOR]