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Fhulufhelo Nemangwele

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Conference Jul 2026

Short-Term Load Forecasting for Residential-Level Smart Microgrids: A Comparative Evaluation of Machine Learning and Deep Learning Architectures

Accurate short-term load forecasting (STLF) is essential for modern grid operations, enabling efficient scheduling, demand response, and renewable energy integration. This paper presents a systematic comparison of five forecasting architectures applied to a large dataset of 98 residential homes, with 1-minute and 15-mi...

Mukovhe Ratshitanga, Pfano Nemakonde, Komla A. Folly et al. · 0 citations

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