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Driven by new regulations, new market structures, and new energy resources, the smart grid has been the trigger for profound changes in the way that electricity is generated, distributed, managed, and consumed. The smart grid has raised the traditional power grid by using a two-way electricity and information flow to create an advanced, automated power supply network. However, these pioneering smart grid technologies must grow to adapt to the demands of the current digital society. In today’s digital landscape, we can access feasible data and knowledge that were merely inconceivable. This Special Issue aims to address the landscape in which smart grids are progressing, due to the advent of pervasive technologies like the Internet of Things (IoT). It will be the advanced exploitation of the massive amounts of data generated from (low-cost) IoT sensors that will become the main driver to evolve the concept of the smart grid, currently focused on infrastructure, towards the digital energy network paradigm, focused on service. Furthermore, collective intelligence will improve the processes of decision making and empower citizens. Original manuscripts focusing on state-of-the-art IoT networking and communications, M2M communications, cyberphysical system architectures, big data analytics or cloud computing applied to digital energy platforms, including design methodologies and practical implementation aspects, are welcome.

energy management system --- n/a --- home energy management system --- nanogrids --- electric energy storage --- genetic algorithm --- voltage unbalance --- harmonics --- self-consumption --- prosumer --- power system reliability --- microgrid --- communication --- low-cost solutions --- distributed energy resources --- LoRa technology --- smart inverter --- direct load control --- distributed generation --- power quality --- mixed-integer linear programming --- PV monitoring --- islanded operation --- wireless --- frequency variations --- demand response

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Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning.

mixed integer linear programming --- fuzzy set theory --- stochastic programming --- mixed integer linear programing --- variable renewable power --- generation efficiency --- optimization --- flexibility option --- portfolio analysis --- firefighting --- semi-mean-absolute deviation model --- component outage --- energy network --- predicted mean vote (PMV) --- generation expansion planning --- building microgrid --- demand side management --- stochastic robust optimization --- oil storage plants --- long-term forecasting --- multi-criteria decision making (MCDM) --- life cycle cost --- graph theory --- scenario-based multistage stochastic programming --- optimal power generation mix --- heating ventilation and air-conditioning (HVAC) --- intermittent sources --- electric-power structure adjustment --- technique for the order of preference by similarity to the ideal solution (TOPSIS) --- integrated energy system --- Markov chain Monte Carlo --- nondominated sorting genetic algorithm (NSGA) --- domino effect --- energy system management model --- electrical distribution systems --- microgrid operation --- influence diagram --- net demand --- wind power forecasting --- energy conservation and emissions reduction --- feasible operation region --- meshed topology --- occupancy-based control --- islanded microgrids --- combined heat and power --- multi-objective optimization --- re-optimization and rescheduling

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Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.

data mining --- decision-making system --- rough set --- mixed integer linear programming --- assembly clearance --- diesel engine quality --- Internet of things --- Wireless nodes --- Hybrid clustering --- Multi-hop routing --- Network lifetime --- Artificial intelligence --- data envelopment analysis --- decision making --- artificial intelligence --- performance --- visual analytics --- system --- air quality --- spatiotemporal --- multivariate --- dimension reduction --- clustering --- regular patterns --- anomalies --- speech recognition --- Long Short Term Memory (LSTM) --- speech output correction --- most-matching --- empirical correlations --- rheological properties --- real-time --- water-based drill-in fluid --- artificial neural network --- elastic parameters --- Poisson’s ratio --- sandstone --- self-adaptive differential evolution --- total organic carbon --- barnett shale --- devonian shale --- fishbone multilateral wells --- predictive models --- well productivity --- international research --- knowledge map visualization --- policy documents quantification --- research hotspot --- policy keyword --- minimum miscibility pressure (MMP) --- CO2 flooding --- new models --- face recognition --- security --- spoofing --- histogram of oriented gradients --- smart cities --- deep learning --- LSTM --- neural networks --- location prediction --- trajectories --- smart tourism --- static Young’s modulus --- sandstone formations --- machine learning --- n/a --- Poisson's ratio --- static Young's modulus

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Distributed generation is becoming more important in electrical power systems due to the decentralization of energy production. Within this new paradigm, new approaches for the operation and planning of distributed power generation are yet to be explored. This book deals with distributed energy resources, such as renewable-based distributed generators and energy storage units, among others, considering their operation, scheduling, and planning. Moreover, other interesting aspects such as demand response, electric vehicles, aggregators, and microgrid are also analyzed. All these aspects constitute a new paradigm that is explored in this Special Issue.

Technology: general issues --- Benders’ decomposition --- distributed generation planning (DGP) --- two-stage stochastic mixed-integer linear programming (MILP) --- renewable energy sources (RES) --- micro-grid --- energy management system --- IEC 61850 --- 5G --- LoRa --- multi-agent system --- isolated AC/DC hybrid microgrid --- two-layer consensus method --- dynamic economic dispatch --- distributed hierarchical strategy --- MILP optimization --- allocation --- renewable energy sources --- system modeling --- energy storages --- energy curtailment --- mathematical programming --- small scale distributed generation --- distribution networks --- active power management --- battery degradation --- electric vehicles --- electric vehicles aggregator --- electricity markets --- stochastic programming --- combined economic emission dispatch --- environment-based demand response --- emission constraints --- penalty factor --- weighting update artificial bee colony --- distribution network planning --- energy storage system --- multi-objective optimization --- optimal location --- risk assessment --- flexibility --- distributed energy resources --- distribution system operators --- local services --- system services --- arbitrage --- frequency control

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Buildings account for more than one-third of the global final energy consumption and CO2 emissions. The building sector offers a significant potential in the transition towards the decarbonisation of societies. To achieve this goal, different concepts and implementations of Net-Zero/Positive Energy Buildings and Districts (NZPEBD) have emerged in the last years and are still in progress. This book is the collection of the articles published in the Special Issue “Net-Zero/Positive Energy Buildings and Districts” of the Buildings journal. This reprint includes 17 research articles covering different aspects of Net-Zero/Positive Energy Buildings and Districts planning, technologies, economics, building design and retrofitting, citizen engagement, and collection of energy data.

Research & information: general --- Physics --- energy storage --- hydrogen --- power-to-gas --- reversible solid oxide cell --- optimization --- mixed integer linear programming --- MILP --- microgrid --- PV --- peer to peer --- self-consumption --- energy community --- local market --- PVT --- water-based PVT --- techno-economic analysis --- digital mapping --- seasonal thermal energy storage --- waste incineration --- district heating --- waste heat --- energy retrofit --- heat pump --- CO2 emissions --- building stock --- PED --- energy flexibility --- socioeconomic analysis --- regions --- regulation --- renewable energy --- urban environment --- climatic zones --- gaussian mixture model --- Expectation-Maximization --- urban building energy modeling --- data acquisition --- building optimisation design --- Saharan --- cool climate --- genetic algorithm --- low energy buildings --- spatial --- temporal --- energy use --- smart city --- net‐ and nearly‐zero‐energy buildings --- positive energy communities and districts --- renewable energy integration --- energy flexibility in buildings and communities --- simulation and optimization methods --- practical experience from demo sites --- buildings --- construction --- efficient homes --- energy efficiency --- GHG emissions --- homes --- net-zero energy (NZE) --- NZE building technology --- positive energy districts --- citizen --- cities --- participation --- citizen engagement --- stakeholder engagement --- urban energy transition --- bi-directional grid --- urban photovoltaic systems --- energy communities --- agent based modelling --- techno-economic modelling --- market design --- distributed renewable energy --- characterization --- review --- text mining --- nearly zero-energy building --- container building --- building design --- energy simulation --- climate study --- plus energy buildings --- plus energy districts --- energy sharing --- energy trading --- clean energy package --- n/a