Name
Title | ||
|---|---|---|
ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier. |
Abstract | ||
|---|---|---|
A novel energy management system (EMS) synthesis procedure based on adaptive neurofuzzy inference systems (ANFISs) by hyperplane clustering is investigated in this paper. In particular, since it is known that clustering input-output samples in hyperplane space does not consider clusters' separability in the input space, a Min-Max classifier is applied to properly cut and update those hyperplanes d... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TETCI.2018.2880815 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Optimal scheduling,Microgrids,Renewable energy sources,Smart grids,Real-time systems,Job shop scheduling | Journal | 3 |
Issue | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Leonori | 1 | 1 | 1.06 |
| Alessio Martino | 2 | 4 | 3.48 |
| Fabio Massimo Frattale Mascioli | 3 | 52 | 15.07 |
| Antonello Rizzi | 4 | 363 | 41.68 |