{'fraction_non_alphanumeric': 0.02418207681365576, 'fraction_numerical': 0.005689900426742532, 'mean_word_length': 5.285714285714286, '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}}
The Method for Photovoltaic Module Temperature Short-term Forecasting Based on Numerical Weather Prediction

As module temperature plays an important role in the PV power forecasting, an accurate short-term prediction will be very helpful in improving PV power short-term forecasting. In this article, a method of short-term forecasting for PV module temperature based on numerical weather prediction(NWP) is proposed, which has a time resolution of prediction point was 15-minute, prediction aging of the next 24 hour. In the case study, this approach continuously provides reasonable temperature short-term forecasting of the PV module. The practice indicates that this method is simple and effective.