TY  - GEN
AU  - Kolokotsa,Denia
AU  - Pignatta,Gloria
AU  - Gobakis,Kostas
AU  - Kolokotsa,Denia
AU  - Pignatta,Gloria
AU  - Gobakis,Kostas
TI  - Demand-Response in Smart Buildings
SN  - books978-3-03928-267-8
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - demand response
KW  - artificial neural network
KW  - power predictions
KW  - energy management
KW  - genetic algorithm
KW  - optimisation
KW  - microgrid
KW  - smart grid
KW  - requests time
KW  - cloud computing
KW  - response time
KW  - processing time
KW  - resource allocation
KW  - fog computing
KW  - energy resource
KW  - energy security
KW  - energy sources
KW  - Slovakia
KW  - energy flexibility
KW  - retrofitting interventions
KW  - residential consumption
KW  - electrification in the built environment
KW  - smart cities
KW  - smart energy management
KW  - India
KW  - energy efficiency
KW  - low-carbon mobility
KW  - water-energy nexus
N1  - Open Access
N2  - This book represents the Special Issue of Energies, entitled "Demand-Response in Smart Buildings", that was published in the section "Energy and Buildings".  This Special Issue is a collection of original scientific contributions and review papers that deal with smart buildings and communities. Demand response (DR) offers the capability to apply changes in the energy usage of consumers-from their normal consumption patterns-in response to changes in energy pricing over time. This leads to a lower energy demand during peak hours or during periods when an electricity grid's reliability is put at risk. Therefore, demand response is a reduction in demand designed to reduce peak load or avoid system emergencies. Hence, demand response can be more cost-effective than adding generation capabilities to meet the peak and/or occasional demand spikes. The underlying objective of DR is to actively engage customers in modifying their consumption in response to pricing signals. Demand response is expected to increase energy market efficiency and the security of supply, which will ultimately benefit customers by way of options for managing their electricity costs leading to reduced environmental impact
UR  - https://mdpi.com/books/pdfview/book/2789
UR  - https://directory.doabooks.org/handle/20.500.12854/69020
ER  -