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Peak power management of residential building using demand side management strategies
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.
Peak power management of residential building using demand side management strategies
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.
Peak power management of residential building using demand side management strategies
Tabassum, Zahira (author) / Shastry, B. S. Chandrasekar (author)
2022-05-14
doi:10.53730/ijhs.v6nS2.7333
International journal of health sciences; Special Issue II; 8978-8997 ; 2550-696X ; 2550-6978 ; 10.53730/ijhs.v6nS2.2022
Article (Journal)
Electronic Resource
English
DDC:
690
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