An Energy Efficient Residential Load Management System for Multi-class Appliances in Smart Homes

Rasheed, Muhammad Babar; Awais, Muhammad; Javaid, Nadeem; Iqbal, Zafar; Khurshid, A.; Chaudhry, F. A.; Ilahi, F.

doi:10.1109/nbis.2015.12

Cited by 10 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[16] showed the presence of non-zero reactive component in Inverter type Air Conditioners using virtual instrument platform (NI LabVIEWTM) under IEEE standards and definitions of measurement. Energy saving in shifting to the most efficient appliances could also result in reduction of additional capacity requirement in the future [17]. Results of electricity consumption comparison between Polish homes and selected European Union countries were presented in [18].…”

Section: Figure 1 Primary Energy Consumption Co2 Emission and Populmentioning

confidence: 99%

Residential Energy Conservation using Efficient Home Appliances

Ansari*,

Mohammad,

Tariq

et al. 2020

IJITEE

View full text Add to dashboard Cite

Significant hike in global energy demand has laid extra pressure on energy generation plants and natural environment as well. Therefore, methods of reducing the global energy demand are being extensively explored worldwide. In this paper, we have discussed ways of reducing energy consumption in Residential sector. We have taken eight major appliances being used in homes and compared them on the basis of annual energy consumed and cost saving by taking suitable assumptions like running hours, seasons of operation, etc. Finally, Case study of a modern house in Aligarh district of UP is studied for analysing the percentage consumption of each appliance being discussed. The results show that appliances like light bulbs, ceiling fans and refrigerators have the highest potential of energy as well as cost saving by improving their efficiency. Further, by switching all the appliances from conventional to the most efficient models resulted in energy and cost saving of about 37% in the house taken for case study.

show abstract

Section: Figure 1 Primary Energy Consumption Co2 Emission and Populmentioning

confidence: 99%

Residential Energy Conservation using Efficient Home Appliances

Ansari*,

Mohammad,

Tariq

et al. 2020

IJITEE

View full text Add to dashboard Cite

show abstract

“…In [5] the authors discusses consumer demand response signal so that consumers can control their electricity price and carbon footprints.The consumers use this information as an incentive to minimize peak load demand by balancing consumption of load.In work [6] a new user aware demand side management technique is proposed for handling residential load while keeping in view the appliance waiting time.Knapsack technique is used to keep trade off between energy consumption and appliance waiting time while for electricity cost and peak load demand reduction K-Wind Driven Optimization technique is used.…”

Section: Related Workmentioning

confidence: 99%

A Smart Home Energy Management Strategy Based on Demand Side Management

Iqbal

Javaid

Khan

et al. 2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

View full text Add to dashboard Cite

In this paper we propose an ECG optimization model for a smart home based on DSM.The proposed model is an efficient SHEM strategy. The model is proposed keeping in view the minimization of energy consumption,energy consumption cost and energy generation cost.The model is based on efficient scheduling of appliances and an ECG optimization algorithm is proposed.We are using and optimizing energy from two energy sources namely lceg and lcd which are also known as macrogrid and microgrid respectively.The problem is solved as cost optimization problem using genetic algorithm and mathematically formulated using binary MNKP. The simulation results show that our ECG model efficiently reduces the cost of energy consumption, energy generation and energy consumption utilization.

show abstract