@inproceedings{10.5220/0007721501370142,
author = {Arshad, Muhammad and Hasnain, Syed and Arshad, Naveed},
title = {A Novel Demand Side Management (DSM) Technique for Electric Grids with High Renewable Energy Mix Using Hierarchical Clustering of Loads},
year = {2023},
isbn = {9789897583735},
publisher = {SCITEPRESS - Science and Technology Publications, Lda},
address = {Setubal, PRT},
url = {https://doi.org/10.5220/0007721501370142},
doi = {10.5220/0007721501370142},
abstract = {Shortfall can occur at irregular times in an electric grid that has high a concentration of intermittent renewable energy sources. Many methods are being studied, proposed and used to change the demand in order to match the supply with the most common being Load Curtailment. New DSM techniques have evolved as a result of advancements in AMI technologies. The goal is to minimize the difference between supply and demand at the time of shortfall. Our proposed algorithm selects consumers and limits their energy consumption by profiling the commercial sites based on their historical consumption behaviour. Then, to save the required amount of energy, the sites with peak consumption levels with respect to their own daily usage are targeted. Thus, it harnesses the maximum potential of electricity deduction from a site while minimizing its effects on the residents.},
booktitle = {Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems},
pages = {137–142},
numpages = {6},
keywords = {Machine Learning., Hierarchical Clustering, Demand Side Management, Quota Allocation},
location = {Heraklion, Crete, Greece},
series = {SMARTGREENS 2019}
}