{'fraction_non_alphanumeric': 0.014231499051233396, 'fraction_numerical': 0.0, 'mean_word_length': 5.393939393939394, '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}}
A Systematic Muti-level Evaluation Framework and Approach for Electricity Market Operation Based on Big Data

To ensure the safety, efficiency and stability of the electricity market, the market evaluation is of great importance. During the operation of the electricity market, a large amount of data is being generated continuously. Thus, it is necessary to establish a relatively systematic assessment framework of the effectiveness and risk in electricity market based on big data. This paper analyzes the construction method of the assessment index, introduces the theory of the modern comprehensive evaluation method, and constructs the framework to evaluate the electricity market operation with a multi-dimensional time scale and hierarchical regulation system. A case study using actual electricity market data in China is presented. The proposed framework provides a systematic method to evaluate the market efficiency and risks, which can be used as a decision support tool for market regulators to ensure the effective operation of the market.