Abstract: The invention relates to a block bidding method and system for promoting clean energy consumption based on the power trading platform. The block bidding method includes the following steps: dividing the time slots for clean energy units to participate in power trading; predicting the typical monthly power generation curve of clean energy units; decomposing the signed annual power contract of clean energy units into months; determining the monthly trading declaration curve of clean energy units; determining the monthly trading declaration curve of clean energy units; determining the time-slot declaration price of clean energy units; realizing the trading clearing by the power trading platform in accordance with the principle of “high-low matching”.

Abstract: It involves the field of power trading technology and a method for microservice transformation of power trading function comprising the following steps: (1) divide the function in extranet trading cloud into many multiple individual micro services and divide the function in intranet trading cloud into multiple individual micro services; (2) register a node information for each individual micro service in service registry when service deployment starts; (3) extranet users and intranet users enter into extranet trading cloud and intranet trading cloud respectively through PC terminal or mobile terminal, obtain the actual network address that needs to be served from service registry, send a request to the requested service, and perform related business operation.

Abstract: The invention involves the field of power trading and especially involves a method for construction of power trading index system based on big data technology. Main steps are as follows: 1. data acquisition; 2. construction of index system: construction of index system is mainly based on cloud focus evaluation method to solve the problem of variables transformation and make data analysis through high concurrency distributed computing power of Spark memory access; 3. index calculation: adopt objective weighting approach to determine the weight of each index after index configuration and then adopt cloud focus evaluation method to calculate the weighted deviation of each index; store final evaluation result of each index into HDFS database after Spark calculation; 4. index display.

Abstract: It involves the field of power trading technology and a method for microservice transformation of power trading function comprising the following steps: (1) divide the function in extranet trading cloud into many multiple individual micro services and divide the function in intranet trading cloud into multiple individual micro services; (2) register a node information for each individual micro service in service registry when service deployment starts; (3) extranet users and intranet users enter into extranet trading cloud and intranet trading cloud respectively through PC terminal or mobile terminal, obtain the actual network address that needs to be served from service registry, send a request to the requested service, and perform related business operation.