04410nam 22006495 450 991073603160332120210722132443.03-030-72322-410.1007/978-3-030-72322-4(CKB)5580000000277656(DE-He213)978-3-030-72322-4(EXLCZ)99558000000027765620210722d2021 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierHandbook of Smart Energy Systems[electronic resource] /edited by Mahdi Fathi, Enrico Zio, Panos M. PardalosCham :Springer International Publishing :Imprint: Springer,2021.1 online resource (X, 1590 p. 20 illus., 10 illus. in color.) A Stackelberg Game-Theoretic Model of Fee-and-Rebate Pricing in Load-Reduction Emergency Demand Response Program -- The forecasting of Turkey’s primary energy resources by LR Fuzzy numbered-Multivariate Autoregressive Model -- IoT Integration with Smart Grid Using Decentralization Technology -- Improving global sustainability by increasing public schools’ environmental and financial viability as hubs for green energy production -- The Need for Self-Sufficiency and Integrated Water and Energy Management: The Case Study of the Water supply System in a Small Mountain Town, Covilha, Portugal -- Life Cycle Assessment of Algal Biofuels -- The Role of Blockchain and Cryptocurrency in Smart Grid - Renewable Energy Trading, System Security and Privacy Preservation -- Rethinking renewable energy development in the Republic of Kazakhstan from the perspectives of international relations -- A PDE-based Aggregate Power Tracking Control of Heterogeneous TCL Populations -- Energy Harvesting for Smart Energy Systems.This handbook analyses and develops methods and models to optimize solutions for energy access of industry and the general world population in terms of reliability and sustainability. It focuses on improving the performance measures of the energy systems. It brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies to improve the reliability of energy supply-demand systems, achieve a more efficient state of long term operations, deal with uncertainties in energy systems, and reduce energy emissions.Environmental economicsEnergy policyEnergy and stateRenewable energy resourcesMathematical optimizationArtificial intelligenceSustainable developmentEnvironmental Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W48000Energy Policy, Economics and Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/112000Renewable and Green Energyhttps://scigraph.springernature.com/ontologies/product-market-codes/111000Optimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26008Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Sustainable Developmenthttps://scigraph.springernature.com/ontologies/product-market-codes/U34000Environmental economics.Energy policy.Energy and state.Renewable energy resources.Mathematical optimization.Artificial intelligence.Sustainable development.Environmental Economics.Energy Policy, Economics and Management.Renewable and Green Energy.Optimization.Artificial Intelligence.Sustainable Development.333.7Fathi Mahdiedthttp://id.loc.gov/vocabulary/relators/edtZio Enricoedthttp://id.loc.gov/vocabulary/relators/edtPardalos Panos Medthttp://id.loc.gov/vocabulary/relators/edtBOOK9910736031603321Handbook of Smart Energy Systems3421661UNINA