Abstract: Aspects are provided for multiband multiplexers. One example is a multiband multiplexer with a first filter element configured to have a first passband that spans a first predefined frequency range of a first communication band and a second predefined frequency range of a second communication band, wherein the first predefined frequency range overlaps a portion of the second predefined frequency range, a second filter element configured to have a second passband distinct from the first passband, a third filter element configured to have a third passband distinct from the first and second passbands, and a fourth filter element configured to have a fourth passband distinct from the first, second, and third passbands.

Abstract: A method and an electronic device for power allocation of multi-parallel power electronic transformers, the method including: determining a quantity of conversion stages of the power electronic transformers; obtaining a load ratio-efficiency relationship between the two ports of each conversion stage in turn, performing a curve fitting to obtain a load ratio-efficiency curve of each conversion stage of the power electronic transformers; calculating a load ratio-loss relationship of each conversion stage, based on the load ratio-efficiency curve of each conversion stage; obtaining a multi-parallel minimum-operation-loss power allocation curve of each conversion stage; performing a piecewise curve fitting of the minimum-operation-loss power allocation curve to obtain a multi-parallel optimum power allocation mathematical model of each stage; and determining an optimum power allocation to each port of the multi-parallel power electronic transformers, based on the multi-parallel optimum power allocation mathemati

Abstract: A method and an electronic device for power allocation of multi-parallel power electronic transformers, the method including: determining a quantity of conversion stages of the power electronic transformers; obtaining a load ratio-efficiency relationship between the two ports of each conversion stage in turn, performing a curve fitting to obtain a load ratio-efficiency curve of each conversion stage of the power electronic transformers; calculating a load ratio-loss relationship of each conversion stage, based on the load ratio-efficiency curve of each conversion stage; obtaining a multi-parallel minimum-operation-loss power allocation curve of each conversion stage; performing a piecewise curve fitting of the minimum-operation-loss power allocation curve to obtain a multi-parallel optimum power allocation mathematical model of each stage; and determining an optimum power allocation to each port of the multi-parallel power electronic transformers, based on the multi-parallel optimum power allocation mathemati

Abstract: A whole-life-cycle power output classification prediction system for photovoltaic systems. The power output classification prediction system comprises a basic information storage module, a database module, a prediction model judgment module, a prediction data pre-processing module and a prediction modeling module. The system selects different prediction models to carry out training and predication according to acquired data types and operation time of the photovoltaic system, is a modularized and multi-type photovoltaic system output power prediction system, can be suitable for output power prediction requirements of a majority of photovoltaic systems at present, can carry out customization according to the scale of the photovoltaic system, user requirements, etc., can both meet economic requirements and reliability requirements, and has good adaptability and transportability. The prediction method can update automatically. The prediction system can carry out automatic operation management.