Demand Based Cost Optimization of Electric Bills for Household Users

Main Article Content

Nabeel Tawalbeh
Mohammad Malkawi
Hanan Abusamaha
Sahban Alnaser


Abstract- Internet of Things (IoT) is increasingly becoming the vehicle to automate, optimize and enhance the performance of systems in the energy, environment, and health sectors. In this paper, we use Wi-Fi wrapped sensors to provide online and in realtime the current energy consumptions at a device level, in a manner to allow for automatic control of peak energy consumption at a household, factory level, and eventually at a region level, where a region can be defined as an area supported by a distinct energy source. This allows to decrease the bill by avoiding heavily and controllable loads during high tariff slice and/or peak period per household and to optimize the energy production and distribution in a given region. The proposed model relies on adaptive learning techniques to help adjust the current load, while taking into consideration the actual and real need of the consumer. The experiments used in this study makes use of current and voltage sensors, Arduino platform, and simulation system. The main performance indexes used are the control of a peak consumption level, and the minimum time needed to adjust the distribution of load in the system. The system was able to keep the maximum load at a maximum of 10 kW in less than 10 seconds of response time. The level and response time are controllable parameters.

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How to Cite
Tawalbeh, N., Malkawi, M., Abusamaha, H., & Alnaser, S. (2022). Demand Based Cost Optimization of Electric Bills for Household Users. International Journal of Communication Networks and Information Security (IJCNIS), 13(3). (Original work published December 25, 2021)
Research Articles
Author Biographies

Nabeel Tawalbeh

Assistant ProfessorUniversity of JordanElectrical Engineering Department

Mohammad Malkawi, JUST

Dr. Mohammad Malkawi received his Ph.D degree from the University of Illinois at Urbana-Champaign in computer engineering in 1986. He is currently associate professor at Jordan University of Science and Technology and adjunct professor at Capitol Technology University, USA. Dr. Malkawi has worked at University of Wisconsin Milwaukee, Motorola Inc., ORACLE/SUN Microsystems and Cambium Networks. Dr. Malkawi has published numerous papers in international journals and conferences and has several patents in the area of information and communication technologies. He is the founder of CCT Inc., a startup devoted to fighting forgery and counterfeit in financial, academic, and governmental institutions. Dr. Malkawi has lectured at international conferences in various topics including blockchain technology, cyber security, innovation and entrepreneurship. His interests include blockchain distributed systems, high productivity computing, system modeling and simulation, broadband WiFi, reliable and high availability computing, distributed and parallel algorithms

Sahban Alnaser, Jordan University

Sahban Alnaser: Dr. Alnaser is assistant professor at the Electrical Engineering Department, The University of Jordan. His research interests include the integration of Distributed Energy Resources (DER) in electrical power system and smart grid.  Prior to joining the University of Jordan, he was Postdoctoral Research Associate in Network Integration of PV and storage at the School of Electrical and Electronic Engineering, University of Manchester, UK. He received his Ph.D. degree in electrical power and energy systems from the University of Manchester, UK, in 2015. Between 2005 and 2011, he was working as head of power system studies at the Electricity Distribution Company (EDCO) in Jordan.