This relevant and timely thesis presents the pioneering use of risk-based assessment tools to analyse the interaction between electrical and mechanical systems in mixed AC/DC power networks at subsynchronous frequencies. It also discusses assessing the effect of uncertainties in the mechanical parameters of a turbine generator on SSR in a meshed network with both symmetrical and asymmetrical compensation systems. The research presented has resulted in 12 publications including three top international journal papers (IEEE Transactions on Power Systems) and nine international conference publications, including two award-winning papers.

The advancement of sustainable energy is becoming an important concern for many countries. The traditional electrical grid supports only one-way interaction of power being delivered to the consumers. The emergence of improved sensors, actuators, and automation technologies has consequently improved the control, monitoring and communication techniques within the energy sector, including the Smart Grid system. With the support of the aforementioned modern technologies, the information flows in two-ways between the consumer and supplier. This data communication helps the supplier in overcoming challenges like integration of renewable technologies, management of energy demand, load automation and control. Renewable energy (RE) is intermittent in nature and therefore difficult to predict. The accurate RE forecasting is very essential to improve the power system operations. The forecasting models are based on complex function combinations that include seasonality, fluctuation, and dynamic nonlinearity. The advanced intelligent computing algorithms for forecasting should consider the proper parameter determinations for achieving optimization. For this we need, new generation research areas like Machine learning (ML), and Artificial Intelligence (AI) to enable the efficient integration of distributed and renewable generation at large scale and at all voltage levels. The modern research in the above areas will improve the efficiency, reliability and sustainability in the Smart grid.

This book comprises select proceedings of the international conference ETAEERE 2020, and primarily focuses on renewable energy resources and smart grid technologies. The book provides valuable information on the technology and design of power grid integration on microgrids of green energy sources. Some of the topics covered include solar PV array, hybrid microgrid, daylight harvesting, green computing, photovoltaic applications, nanogrid applications, AC/DC/AC converter for wind energy systems, solar photovoltaic panels, PEM fuel cell system, and biogas run dual-fueled diesel engine. The contents of this book will be useful for researchers and practitioners working in the areas of smart grids and renewable energy generation, distribution, and management.

Multiple participant decision making in societal and technological systems / K.W. Hipel and L. Fang -- Mathematical modeling for coping with uncertainty and risk / Marek Makowski -- Managing complex and dynamic systems for the future / E.D. Jones -- Characteristics of visual attention and the safety / T. Miura, K. Shinohara, T. Kimura and K. Ishimatsu -- An agent-based rules discovery from complex database / Mina Ryoke and Yoshiteru Nakamori -- Additional learning in computational intelligence and its applications to risk management problems / H. Nakayama, K. Kuramoto, M. Arakawa and K. Furukawa -- Integrated assessment of global warming stabilization scenarios by the Asia-Pacific integrated model / Toshihiko Masui, Kiyoshi Takahashi, Mikiko Kainuma and Yuzuru Matsuoka -- Trust and acceptance of risks / Satoshi Fujii, Toshiko Kikkawa and Kazuhisa Takemura -- A value judgment for evaluating the sense of security provided by nursing care robots based on cumulative prospect theory / Hiroy ...

The second edition of this popular textbook provides a comprehensive overview to chronic illness care, which is the coordinated, comprehensive and sustained response to chronic diseases and conditions by health care providers, formal and informal caregivers, healthcare systems, and community-based resources. This unique resource uses an ecological framework to frame chronic illness care at multiple levels, and includes sections on individual influences, the role of family and community networks, social and environmental determinants, and health policy. The book also orients how chronic care is provided across the spectrum of health care settings, from home to clinic, from the emergency department to the hospital and from hospitals to residential care facilities. The fully revised and expanded edition of Chronic Illness Care describes the operational frameworks and strategies that are needed to meet the care needs of chronically ill patients, including behavioral health, care management, transitions of care, and health information technology. It also addresses the changing workforce needs in health care and the fiscal models and policies that are associated with chronic care. Several new chapters are included in the second edition and reflect the significant changes that have occurred in health care due to the COVID-19 pandemic. Chapters covering vaccinations, virtual care, and care of COVID-19 associated chronic conditions have been added. The revised textbook builds on the first editions content that covered providing care to special population groups, such as children and adolescents, older adults, and adults with intellectual and developmental disabilities, by including care approaches to adults with severe and persistent mental health disorders, the LGBTQ+ community, incarcerated persons, immigrants and refugees, and military veterans. Finally, chapters on important and emerging topics, such as natural language processing and health inequities and structural racism have also been added.