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Effective smart grid operation requires rapid decisions in a data-rich, but information-limited, environment. In this context, grid sensor data-streaming cannot provide the system operators with the necessary information to act on in the time frames necessary to minimize the impact of the disturbances. Even if there are fast models that can convert the data into information, the smart grid operator must deal with the challenge of not having a full understanding of the context of the information, and, therefore, the information content cannot be used with any high degree of confidence. To address this issue, data mining has been recognized as the most promising enabling technology for improving decision-making processes, providing the right information at the right moment to the right decision-maker. This Special Issue is focused on emerging methodologies for data mining in smart grids. In this area, it addresses many relevant topics, ranging from methods for uncertainty management, to advanced dispatching. This Special Issue not only focuses on methodological breakthroughs and roadmaps in implementing the methodology, but also presents the much-needed sharing of the best practices. Topics include, but are not limited to, the following:  Fuzziness in smart grids computing  Emerging techniques for renewable energy forecasting  Robust and proactive solution of optimal smart grids operation  Fuzzy-based smart grids monitoring and control frameworks  Granular computing for uncertainty management in smart grids  Self-organizing and decentralized paradigms for information processing

Information technology industries --- voltage regulation --- smart grid --- decentralized control architecture --- multi-agent systems --- t-SNE algorithm --- numerical weather prediction --- data preprocessing --- data visualization --- wind power generation --- partial discharge --- gas insulated switchgear --- case-based reasoning --- data matching --- variational autoencoder --- DSHW --- TBATS --- NN-AR --- time-series clustering --- decentral smart grid control (DSGC) --- interpretable and accurate DSGC-stability prediction --- data mining --- computational intelligence --- fuzzy rule-based classifiers --- multi-objective evolutionary optimization --- power systems resilience --- dynamic Bayesian network --- Markov model --- probabilistic modeling --- resilience models

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The ever tighter coupling of our food, water and energy systems, in the context of a changing climate is leading to increasing turbulence in the world. As a consequence, it becomes ever more crucial to develop cities, regions, and economies with resilience in mind. Because of their global reach, substantial resources, and information-driven leadership structures, multinational corporations can play a major, constructive role in improving our understanding and design of resilient systems. This volume is the product of the Resilience Action Initiative, a collaboration among Dow, DuPont, IBM, McKinsey & Co., Shell, Siemens, Swiss Re, Unilever, and Yara designed to explore possible corporate contributions to global resilience, especially at the nexus of water, food and energy. Aggressively forward-thinking, and consistent with an enlightened self-interest, the ideas considered here represent a corporate perspective on the broad collaborations required for a more resilient world.

Organizational resilience. --- Teams in the workplace. --- Risk management. --- Sustainable development. --- Resilience of organizations --- Organizational change --- Insurance --- Management --- Groups, Work --- Team building in the workplace --- Team work in the workplace --- Teambuilding in the workplace --- Teams, Work --- Teamwork in the workplace --- Work groups --- Work teams --- Social groups --- Work environment --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Environmental aspects --- E-books --- Corporations. --- Business corporations --- C corporations --- Corporations, Business --- Corporations, Public --- Limited companies --- Publicly held corporations --- Publicly traded corporations --- Public limited companies --- Stock corporations --- Subchapter C corporations --- Business enterprises --- Corporate power --- Disincorporation --- Stocks --- Trusts, Industrial --- Resilience models, water-energy-food nexus.