A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid  
[PERSON]  
1 Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan; [EMAIL_ADDRESS] (S.A.); [EMAIL_ADDRESS] (A.A.); [EMAIL_ADDRESS] (M.N.)  
[PERSON]  
1 Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan; [EMAIL_ADDRESS] (S.A.); [EMAIL_ADDRESS] (A.A.); [EMAIL_ADDRESS] (M.N.)  
[PERSON]  
1 Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan; [EMAIL_ADDRESS] (S.A.); [EMAIL_ADDRESS] (A.A.); [EMAIL_ADDRESS] (M.N.)  
[PERSON]  
2 Department of Applied Science & Engineering, Thompson Rivers University (TRU), Kamloops, BC V2C 0C8, Canada  
of industry and several aspects of our lives are dependent on electrical energy or electricity. In peak hours, the energy demand further increases and providing the consumers with their demanded loads becomes more challenging. With the traditional power grid, it is very difficult to meet the above challenges [1]. To solve the issue of high consumer demand and the mismatch between generation and utilization, smart grid technology along with energy efficient scheduling is one of the solutions. In this paper, we discuss smart grid technology along with efficient energy management procedures which can solve the above problem up to a certain level. The list of acronyms, notations, and symbols used throughout the paper are tabulated in Tables 1 and 2.  
\begin{table}
\begin{tabular}{c c} \hline \hline
**Acronyms** & **Description** \\ \hline CLU & Control logic unit \\ DERs & Distributed energy resources \\ DMPR & Disjoint multipath routing protocol \\ DSM & Demand side management \\ ECS & Energy consumption scheduling \\ EeA & Energy efficient appliances \\ EeB & Energy efficient building \\ GUI & Graphical user interface \\ HEMS & Home energy management system \\ HVAC & Heat ventilation and air conditioning \\ iHEM & In home energy management \\ LP & Linear programming \\ MILP & Mixed integer linear programming \\ OM & Optimization module \\ OREM & Optimization based residential energy management \\ PAPR & Peak to average power ratio \\ PDCA & Possible demand curve of the appliances \\ PSO & Particle swarm optimization \\ RTP & Real-time pricing \\ SHEM & Smart home energy management \\ VCG & Vickrey–Clark–Grove \\ VPP & Virtual power player \\ WSAN & Wireless sensor and actuator network \\ \hline \hline \end{tabular}
\end{table}
Table 1: List of acronyms and their descriptions.  
\begin{table}
\begin{tabular}{c c} \hline \hline
**Notation** & **Meaning** \\ \hline \(X_{n,a}^{t}\) & Total energy of consumers to be scheduled \\ \(C(.)\) & Cost of consumers’ energy to be scheduled \\ \(t\) & Time of use of energy \\ \(a\) & Consumers’ appliances \\ \(P_{peak}\) & Consumers’ demand during peak hours \\ \(E(t)\) & Essential load energy consumption of consumer \(N\) \\ \(\gamma_{N}^{max}\) & Maximum power generated by consumer \(N\) through DERs \\ \(\tau\) & Delay time slots for flexible loads \\ \(A_{i,n}\) & Scheduling time slots \\ \(\dot{a}_{i,n}\), \(\dot{\beta}_{i,n}\) & Re-scheduling interval \\ \(\dot{a}_{i,n}\), \(\dot{\beta}_{i,n}\) & Delay scheduling interval \\ \(\omega_{i,n}\) & Preferred scheduling interval for the \(i^{th}\) flexible load of \(n\) \\ \(\chi_{i,n}^{o}(t)\) & Energy consumption of flexible load \\ \(S(.)\) & Generated electricity \\ \(Pe(b_{t},Q_{t})\) & Electricity price \\ \(L_{i}^{st}(t)\) & Shiftable load \\ \(L_{i}^{p}(t)\) & Base load \\ \hline \hline \end{tabular}
\end{table}
Table 2: Notations and symbols used in this paper.