{'fraction_non_alphanumeric': 0.014388489208633094, 'fraction_numerical': 0.0, 'mean_word_length': 5.402298850574713, '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}}
State Estimation in Low Voltage Networks Using Smart Meters: Statistical Analysis of the Errors

In the present work, the assumptions made by the classical state estimation theory based on weighted least squares are revised when this theory is applied to low voltage systems with non-aggregated smart meters data. The measurement errors will be analysed obtaining some interesting conclusions about their probability density functions. Finally, these conclusions will be validated by means of different power flow tests using different smart meters set-up.