Author:
Fernandes Marta P.,Viegas Joaquim L.,Vieira Susana M.,Sousa João M. C.
Publisher
Springer International Publishing
Reference17 articles.
1. Azad, S., Wolfs, P., et al.: Identification of typical load profiles using k-means clustering algorithm. In: 2014 Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), pp. 1–6. IEEE (2014)
2. Deepak Sharma, D., Singh, S.: Electrical load profile analysis and peak load assessment using clustering technique. In: PES General Meeting—Conference & Exposition, 2014 IEEE, pp. 1–5. IEEE (2014)
3. Kim, Y.I., Ko, J.M., Choi, S.H.: Methods for generating TLPs (typical load profiles) for smart grid-based energy programs. In: 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG), pp. 1–6. IEEE (2011)
4. Bidoki, S., Mahmoudi-Kohan, N., Gerami, S.: Comparison of several clustering methods in the case of electrical load curves classification. In: 2011 16th Conference on Electrical Power Distribution Networks (EPDC), pp. 1–7. IEEE (2011)
5. Sathiracheewin, S., Surapatana, V.: Daily typical load clustering of residential customers. In: 2011 8th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 797–800. IEEE (2011)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Clustering Based Methodology for Natural Gas Demand Analysis;2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2019-04
2. Forecasting Energy Demand by Clustering Smart Metering Time Series;Communications in Computer and Information Science;2018
3. Segmentation of Residential Gas Consumers Using Clustering Analysis;Energies;2017-12-04