Peak power management of residential building using demand side management strategies

Zahira Tabassum; B. S. Chandrasekar Shastry

doi:10.53730/ijhs.v6nS2.7333

Authors

Zahira Tabassum
zahirat.ec@hkbk.edu.in
Associate Professor, HKBKCE, Research Scholar, Electronics Engineering, Jain (Deemed to be) University Bangalore, India
B. S. Chandrasekar Shastry Dean, PG Studies, FET, Jain (Deemed to be) University, JP Nagar, Bangalore, India

Keywords:

cascaded feed, forward neural network, demand side management, green energy, load shifting, peak load management

Abstract

Peak power management is one of the demand-side management methods aiming at regulating energy usage throughout the day. This paper discusses peak load, which relates to a consumer's peak demand during specific hourly hours and how to manage it. Shifting loads from demand hours to non peak hours relieves pressure on utilities to meet demand and supply while also lowering the cost to consumers. The Peak Load Management Model offers a more effective framework for lowering peak loads and moving loads from peak to off-peak hours. A cascaded artificial neural network is utilised to construct a demand side management strategy for managing peak electricity in residential buildings in this paper. The peak load control model's results and discussion are highlighted in the simulation results and performance review.

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