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Demand-Response in Smart Buildings

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 a...

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Eará dahkkit: Kolokotsa, Denia (Doaimmaheaddji), Pignatta, Gloria (Doaimmaheaddji), Gobakis, Kostas (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš Girjji oassi
Giella:eaŋgalasgiella
Almmustuhtton: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Fáttát:
History of engineering & technology
demand response
artificial neural network
power predictions
energy management
genetic algorithm
optimisation
microgrid
smart grid
requests time
cloud computing
response time
processing time
resource allocation
fog computing
energy resource
energy security
energy sources
Slovakia
energy flexibility
retrofitting interventions
residential consumption
electrification in the built environment
smart cities
smart energy management
India
energy efficiency
low-carbon mobility
water-energy nexus
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Govvádus
Čoahkkáigeassu: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.
Olgguldas hápmi:1 electronic resource (112 p.)
ISBN:books978-3-03928-267-8
9783039282661
9783039282678
Beassan:Open Access

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