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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.

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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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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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Meteorology. Climatology --- Environmental protection. Environmental technology --- milieubeleid --- klimatologie --- klimaatverandering

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This book discusses the challenges related to climate change mitigation and adaptation. It adds valuable strategies and insights into the development of new practices solving the identified social and economic problems related to ecosystem deterioration and anticipating other disasters related to climate change. As the decarbonization of cities and communities became an issue of great interest to many researchers, the book in hands will be of great importance to decision-makers and energy stakeholders and others seeking a more resilient and sustainable future and developing innovative technologies to overcome environmental deterioration. This book is a culmination of selected research papers from the first version of the international conference on 'Climate Chance and Environmental Sustainability' which was held in 2021 in collaboration with Chongqing University, China.

Meteorology. Climatology --- Environmental protection. Environmental technology --- milieubeleid --- klimatologie --- klimaatverandering