Solar Irradiation Forecasting Technologies: A Review

نویسندگان

چکیده

Renewable energy has received a lot of attention in the previous two decadeswhen it comes to meeting electrical needs home, industrial, andagricultural sectors. Solar forecasting is critical for efficient operation,scheduling, and balancing generation by standalone grid-connected solar PV systems. A variety models methods have beendeveloped literature forecast irradiance. This paper provides ananalysis techniques used irradiance.The main focus study investigate influence meteorologicalvariables, time horizons, climatic zone, pre-processing technique, optimiza-tion & sample size on complexity accuracy model. Due theirnonlinear complicated problem solving skills, artificial neural network basedmodels outperform other literature. Hybridizing modelsor performing input data can improve their accuracyeven more. It also addresses various constituents that amodel’s accuracy. The key findings based studied literatureto select optimal model specific site. discussesthe metrics measure efficiency forecasted beenobserved proper selection training testing period enhancethe

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ژورنال

عنوان ژورنال: Strategic planning for energy and the environment

سال: 2023

ISSN: ['1546-0126', '1048-5236']

DOI: https://doi.org/10.13052/spee1048-4236.391413