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In the high proportion hydropower market, it is of great practical significance to establish a reasonable day-ahead quotation strategy for hydropower plants to ensure the effective participation of hydropower in the market. Firstly, the uncertainty of the clearing price of the system on the operation day was considering. Based on the identification of historical similar days, Gaussian process regression was used to establish the probability prediction method of the day-ahead clearing price. Furthermore, considering the revenue preference and risk aversion psychology of decision makers, and taking the maximum expectation of the hydropower plant's own power sales revenue as the goal, the day-ahead piecewise capacity optimization bidding method for cascade hydropower stations was constructed. Finally, the feasibility and effectiveness of the proposed method were verified by the simulation analysis of the day-ahead piewise capacity declaration of the actual cascade hydropower stations.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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