Name
Abstract | ||
|---|---|---|
In this paper, performance of energy management controller (EMC) based on meta-heuristic algorithms: Harmony Search Algorithm (HSA) and Firefly Algorithm (FA) are evaluated. Critical peak pricing (CPP) scheme is implemented to calculate the electricity cost. Appliances are categorized into three groups on the basis of power consumption. Electricity cost minimization and electricity load shifting from peak hours towards off peak hours are the main objectives of the paper. In simulation results, adopted approach reduces the Peak to Average Ratio (PAR) and total electricity cost. Furthermore, HSA shows better results than FA in terms of PAR and electricity cost. |
Year | Venue | Field |
|---|---|---|
2017 | BWCCA | Mathematical optimization,Computer science,Efficient energy use,Load shifting,Electricity,Firefly algorithm,Minification,Harmony search,Firefly protocol,Management system,Distributed computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
9 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anwar Ur Rehman | 1 | 1 | 2.37 |
| Sheraz Aslam | 2 | 0 | 1.01 |
| Zain Ul Abideen | 3 | 1 | 3.05 |
| Asma Zahra | 4 | 1 | 2.37 |
| Waqar Ali | 5 | 1 | 2.04 |
| Muhammad Junaid | 6 | 1 | 2.41 |
| Nadeem Javaid | 7 | 1043 | 222.46 |