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Author

A. Kalam

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Open access Aug 2026

Analysis of optimal power flow for day-ahead scheduling in South Africa using biologically inspired algorithms

The South African electricity supply sector is undergoing structural reform, with balancing and ancillary-service markets likely to increase the need for active portfolio scheduling under supply shortages and grid constraints. This paper formulates a day-ahead virtual-grid optimal power flow problem for a geographi...

G. Greubel, A. Kalam, Amit Agarwal · 0 citations
Review Open access Aug 2026

Intelligent Machine Learning Techniques for Energy Consumption Forecasting in Smart Buildings—A Review

This work provides a comprehensive foundation for developing accurate, scalable, and comprehensible energy forecasting models for next-generation smart homes by integrating smart building system architecture, machine learning methodologies, ensemble techniques, and evaluation frameworks into a unified analytical perspe...

Amin Namvari Gharehbolagh, A. Kalam, Yuan-Yuan Fan · 0 citations

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