Experimental Study of Short-Term Load Forecasting

Feng Dlamini, Carlos Liu, Omar Bhuiyan, Rafiqul Banerjee

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2001.2502.037

1. Introduction

The interaction between loading and environment governing short-term load forecasting has not been examined systematically for remote sensing platforms. The analysis combines sensitivity analysis with laboratory measurements obtained on scaled specimens. Computed capacities exceeded the code-based estimates by 25% on average. These findings provide a rational basis for revising current design practice in the region.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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