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Optimizing energy production schedules is more than simply aligning solar panel configuration with daylight hours. It is about integrating multiple data streams to create schedules that account for equipment performance, weather predictions, grid demand, and future energy. . This paper proposes a novel approach that unifies a demand response (DR) with a master plan of the model predictive control method focusing on scheduling maintenance and replacement for suboptimal equipment in real-time solar power plants. By leveraging DR mechanisms and MPC algorithms, our. . Shipments of solar photovoltaic (PV) inverters and optimizers were estimated to reach 113,000 megawattsalternating current worldwide in 2020. Central solution and residential/commercial three-phase string inverters would account for the greatest share,at 33,000 and 34,000 megawatts alternating. . Time production equipment remains non-operational, key to maintaining production capacity and efficient scheduling. Tracking KPIs is essential for identifying production inefficiencies and fine-tuning quality control processes in solar power inverter manufacturing. Financial metrics, including. . The solar inverter project report provides detailed insights into project economics, including capital investments, project funding, operating expenses, income and expenditure projections, fixed costs vs. variable costs, direct and indirect costs, expected ROI and net present value (NPV), profit. . The primary objective in standardizing solar inverter manufacturing processes is to enhance efficiency, reliability, and cost-effectiveness while meeting increasingly stringent regulatory requirements. The technological progression of solar inverters has been driven by the rapid growth of the solar. . As solar electric power generation becomes more prevalent, so does the need to optimize energy production schedules. For a Solar Power Plant Manager, leveraging data analytics and business intelligence is vital. This article explores how the application of advanced BI strategies and. .