Table 1 Comparison of LMP computation features
Research contribution | Different features addressed researchers | Approach | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | K | L | M | ||
[5] | \(\surd\) | Â | Â | Â | Â | Â | \(\surd\) | Â | Â | Â | Â | Marginal Loss Coefficients |
[13] | \(\surd\) | Â | Â | Â | Â | Â | \(\surd\) | Â | Â | \(\surd\) | Â | Reconciliated Marginal Loss Coefficients |
[14] | \(\surd\) | Â | Â | Â | Â | Â | \(\surd\) | Â | Â | Â | Â | Maximizing DISCO profit |
[15] | \(\surd\) | Â | Â | \(\surd\) | \(\surd\) | Â | \(\surd\) | Â | \(\surd\) | \(\surd\) | \(\surd\) | Shapley Value Method |
[16] | \(\surd\) | Â | Â | Â | Â | Â | \(\surd\) | Â | Â | Â | Â | Sensitivity Factors |
[17] | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | Nucleolus Theory |
[18] | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | Proportional Nucleolus Theory |
[19] | \(\surd\) | Â | \(\surd\) | \(\surd\) | \(\surd\) | Â | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | Proportional Nucleolus Theory |
[20] | \(\surd\) | \(\surd\) | Â | \(\surd\) | \(\surd\) | Â | \(\surd\) | \(\surd\) | \(\surd\) | Â | Â | Hybrid GA-Dragonfly Algorithm |
[21] | \(\surd\) | Â | \(\surd\) | \(\surd\) | \(\surd\) | Â | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | Point Estimation Method |
Proposed method | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | \(\surd\) | Shapley Value Method |