A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Demand Response in Smart Buildings
The demand-side management scheme, one of the smart grid’s distribution side features, is well accepted due to its role in controlling energy consumption in residential buildings by ensuring sustainability, leading to the concept of smart buildings. The consumers’ appropriate response without compromising the comfort, referred to as demand response, helps decrease their electricity consumption bill. Further, the flexibility and controllability in the power consumption patterns of the end user due to demand response has gained tremendous research interest in the smart grid research domain. Smart appliances’ demand pattern alternation, battery back-up during peak load period, and partial load demand fulfilment through renewable generations are instrumental in reducing the electricity bill. Besides, short-term forecasting plays a vital role in power system scheduling and management. This chapter attempts to summarize the concept of demand response strategies in smart buildings. Further, it discusses the importance of adapting point and probabilistic forecasting methods to yield efficient demand response strategies in a smart building environment.
Demand Response in Smart Buildings
The demand-side management scheme, one of the smart grid’s distribution side features, is well accepted due to its role in controlling energy consumption in residential buildings by ensuring sustainability, leading to the concept of smart buildings. The consumers’ appropriate response without compromising the comfort, referred to as demand response, helps decrease their electricity consumption bill. Further, the flexibility and controllability in the power consumption patterns of the end user due to demand response has gained tremendous research interest in the smart grid research domain. Smart appliances’ demand pattern alternation, battery back-up during peak load period, and partial load demand fulfilment through renewable generations are instrumental in reducing the electricity bill. Besides, short-term forecasting plays a vital role in power system scheduling and management. This chapter attempts to summarize the concept of demand response strategies in smart buildings. Further, it discusses the importance of adapting point and probabilistic forecasting methods to yield efficient demand response strategies in a smart building environment.
Demand Response in Smart Buildings
stud. in Infrastructure & Control
Tomar, Anuradha (editor) / Nguyen, Phuong H. (editor) / Mishra, Sukumar (editor) / Prusty, B. Rajanarayan (author) / Arun S. L. (author) / De Falco, Pasquale (author)
2022-05-10
11 pages
Article/Chapter (Book)
Electronic Resource
English
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