  The real-time statistics on key consumer parameters and key utility
parameters earmark the implementation of demand response (DR) under the smart
grid (SG) paradigm. Advanced metering infrastructure (AMI) enables monitoring
and control over both key parameters to reflect reliable information on SG.
Firstly, this paper aims at a physical realization of an AMI, which comprises a
meter data management system (MDMS) supported by smart meters. Secondly, a
sliding window based non-intrusive load monitoring algorithm is proposed to
illustrate the power consumption pattern. The MDMS features an incremental
block--rate tariff structure given by Tamil Nadu state electricity board for
the estimation and prediction of electricity bill. Finally, an implementation
perspective is presented describing the features of its constituents both
theoretically and experimentally, which could envision a consumer-facing grid
and exert the proposed self--DR scheme.
