1.

Record Nr.

UNINA9910736031603321

Titolo

Handbook of Smart Energy Systems [[electronic resource] /] / edited by Mahdi Fathi, Enrico Zio, Panos M. Pardalos

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-72322-4

Descrizione fisica

1 online resource (X, 1590 p. 20 illus., 10 illus. in color.)

Disciplina

333.7

Soggetti

Environmental 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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.