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Authors: Muhammad Arbab Arshad ; Syed Hasnain and Naveed Arshad

Affiliation: Department of Computer science, Lahore University of Management Sciences, Sector U, DHA, Lahore and Pakistan

Keyword(s): Demand Side Management, Hierarchical Clustering, Quota Allocation, Machine Learning.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Energy-Aware Systems and Technologies ; Greener Systems Planning and Design ; Load Balancing in Smart Grids ; Renewable Energy Resources ; Smart Grids

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.

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Paper citation in several formats:
Arshad, M.; Hasnain, S. and Arshad, N. (2019). A Novel Demand Side Management (DSM) Technique for Electric Grids with High Renewable Energy Mix using Hierarchical Clustering of Loads. In Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-373-5; ISSN 2184-4968, SciTePress, pages 137-142. DOI: 10.5220/0007721501370142

@conference{smartgreens19,
author={Muhammad Arbab Arshad. and Syed Hasnain. and Naveed Arshad.},
title={A Novel Demand Side Management (DSM) Technique for Electric Grids with High Renewable Energy Mix using Hierarchical Clustering of Loads},
booktitle={Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2019},
pages={137-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007721501370142},
isbn={978-989-758-373-5},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - A Novel Demand Side Management (DSM) Technique for Electric Grids with High Renewable Energy Mix using Hierarchical Clustering of Loads
SN - 978-989-758-373-5
IS - 2184-4968
AU - Arshad, M.
AU - Hasnain, S.
AU - Arshad, N.
PY - 2019
SP - 137
EP - 142
DO - 10.5220/0007721501370142
PB - SciTePress