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This research article benchmarks 13 forecasting model families for global renewable energy consumption, highlighting the importance of accurate forecasting for energy transition planning and policy assessment. The study employs a unified walk-forward cross-validation protocol and identifies a significant structural break in 2014, revealing that Holt Linear Exponential Smoothing outperforms deep learning models in this context. Additionally, it introduces novel analytics for energy transition assessment, add

Author

pirzahoor

Language

EN