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Transformations of Global Food Systems for Climate Change Resilience: Addressing Food Security, Nutrition, and Health provides poignant case studies of climate change resilience frameworks for nutrition-focused transformations of agriculture and food systems, food security, food sovereignty, and population health of underserved and marginalized communities from across the globe. Each chapter is drawn from diverse cultural contexts and geographic areas, addressing local challenges of ongoing food and health system transformations. They illustrate forms of resistance, resilience, and adaptations of food systems to climate change. Fourteen chapters present global case studies directly address the United Nation's sustainable development goals and the Food and Agriculture Organization's global call to action for transforming agriculture addressing food security and nutrition, and the health of populations impacted by climate change and public health issues. This edited volume includes research on 1 enhancing food sovereignty and food security for underserved populations, with a particular focus on indigenous peoples 2 improving locally contextualized definitions and measurements of climate change resilience, food security, hunger, nutrition, and health 3 informing public health programs and policies for population health and nutrition and 4 facilitating public and policy discourse on sustainable futures for community health and nutrition in the face of climate change and natural disasters, including ongoing and future pandemics or emergencies. Within this book, readers discover an array of approaches by authors that exemplify the mutually engaged and reciprocal partnerships that are community driven and support the positive transformation of the people with whom they work. By doing so, this book informs and drives a global sustainable future of scholarship and policy that is tied to the intersectionality and synergisms of climate change resilience, food security, food sovereignty, nutrition, and community health.

Food security --- Public health --- Nutrition policy --- Climatic factors --- Climate factors

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In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.

Technology: general issues --- History of engineering & technology --- community integrated energy system --- energy management --- user dominated demand side response --- conditional value-at-risk --- electric heating --- load forecasting --- thermal comfort --- attention mechanism --- LSTM neural network --- smart distribution network --- situation awareness --- high-quality operation and maintenance --- critical technology --- comprehensive framework --- distributionally robust optimization (DRO) --- integrated energy system (IES) --- joint chance constraints --- linear decision rules (LDRs) --- Wasserstein distance --- load disaggregation --- denoising auto-encoder --- REDD dataset --- TraceBase dataset --- machine learning --- secondary equipment --- CNN --- short text classification --- electric vehicle --- short-term load forecasting --- convolutional neural network --- temporal convolutional network --- climate factors --- correlation analysis --- sustainable wind-PV-hydrogen-storage microgrid --- power-to-hydrogen --- receding horizon optimization --- storage --- photovoltaic (PV) system --- DC series arc fault --- power spectrum estimation --- attentional mechanism --- lightweight convolutional neural network --- capacity configuration --- wind-photovoltaic-thermal power system --- carbon emission --- multi-objective optimization --- inertia security region --- n/a

Choose an application

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

In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.

Technology: general issues --- History of engineering & technology --- community integrated energy system --- energy management --- user dominated demand side response --- conditional value-at-risk --- electric heating --- load forecasting --- thermal comfort --- attention mechanism --- LSTM neural network --- smart distribution network --- situation awareness --- high-quality operation and maintenance --- critical technology --- comprehensive framework --- distributionally robust optimization (DRO) --- integrated energy system (IES) --- joint chance constraints --- linear decision rules (LDRs) --- Wasserstein distance --- load disaggregation --- denoising auto-encoder --- REDD dataset --- TraceBase dataset --- machine learning --- secondary equipment --- CNN --- short text classification --- electric vehicle --- short-term load forecasting --- convolutional neural network --- temporal convolutional network --- climate factors --- correlation analysis --- sustainable wind-PV-hydrogen-storage microgrid --- power-to-hydrogen --- receding horizon optimization --- storage --- photovoltaic (PV) system --- DC series arc fault --- power spectrum estimation --- attentional mechanism --- lightweight convolutional neural network --- capacity configuration --- wind-photovoltaic-thermal power system --- carbon emission --- multi-objective optimization --- inertia security region