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Dispersed generations (DGs) from renewable energy resources are becoming popular and start to show benefits, but their connection to distribution systems brings operation challenges and supply uncertainty that must be carefully monitored and forecasted to provide data for correct controls of the systems. This paper proposes a distributed monitoring and centralized forecasting strategy for distribution systems connected with DGs. The paper illustrates functional implementations for the distributed monitoring and centralized forecasting operations utilizing high-speed digital signal processing (DSP) technology and network classified data transmission (CDT) algorithm. The design of a new DSP-based network monitoring architecture is provided. This architecture is fault tolerant and has features from classical cascading, star, and ring architectures. The paper presents the CDT-based real-time data acquisition and DSP-based data post-processing strategy, design, and implementation in three levels: cell units for monitoring feeder-node circuits including DG circuit connected on the feeder, domain unit for a section of the distribution circuit, and station unit for the complete distribution circuit.