{'fraction_non_alphanumeric': 0.011494252873563218, 'fraction_numerical': 0.0, 'mean_word_length': 5.173228346456693, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Solutions for the data level's representation in a decision support system in wind power plants

This paper presents the solutions for the data level's representation in the architecture of a decision support system that can be used in the National Power Grid Companies for integrating and analysing the energy produced in the wind power plants. We considered some informatics technologies, like XML and object-relational databases for storing data and also the spatial data for representing the locations and the coordinates of the wind power plants installed in the country. In the general context it is presented the architecture of the DSS prototype, which can be applied in the uncertain and unpredictable environments, like the production and the prediction of the wind energy.