A Comprehensive Review Of Load Demand Forecasting And Optimal Sizing In Stand Alone Hybrid Renewable Energy Systems

The rising global energy consumption necessitates a shift towards sustainable energy sources. While optimal sizing makes sure that the renewable energy system (RES) has enough capacity to satisfy the demand, accurate forecasting aids in recognizing the energy need. Forecasting load demand and selecting the right size are crucial for advancing sustainable energy practices. These methods aid in the integration of off-grid power systems with renewable energy sources like solar PV and wind turbines. This review of the literature seeks to present an overview of stand-alone hybrid RESs' ideal size and load demand forecasting. The assessment emphasizes how crucial load forecasting and ideal sizing are when constructing dependable and affordable off-grid power systems. The numerous elements that affect load demand, including as weather conditions, seasonal variations, and changes in consumer behaviour, are initially covered in the paper. The article then looks at the various load forecasting methodologies, including AI approaches. The best size for standalone hybrid RESs is the next topic of the review. A summary of the difficulties and restrictions associated with load demand forecasting approaches are also given in the literature study. The review emphasizes the significance of precise data collection, model construction, and model validation, as well as the necessity of including uncertainty and variability in the forecasting process. The study focusses on developing more accurate and robust forecasting models for load demand and optimizing the size of hybrid RES to enhance their efficiency and effectiveness in meeting energy demand while minimizing environmental impact.