All Stories

  1. Measurement-based coherency detection through Monte Carlo Consensus Clustering
  2. Evaluation of Classification Models for Forecasting Critical Voltage Events in Power Systems
  3. The Impact of Frequency Support by Wind Turbines on the Small-Signal Stability of Power Systems
  4. Small-signal stability analysis of uncertain power systems via interval analysis
  5. Enabling Technologies for Enhancing Power System Stability in the Presence of Converter-Interfaced Generators
  6. DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting
  7. A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines
  8. An Interval Mathematic-Based Methodology for Reliable Resilience Analysis of Power Systems in the Presence of Data Uncertainties
  9. A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data
  10. Hierarchical Two-Layer Distributed Control Architecture for Voltage Regulation in Multiple Microgrids in the Presence of Time-Varying Delays
  11. Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts
  12. The role of learning techniques in synchrophasor-based Dynamic Thermal Rating
  13. The Role of Affine Arithmetic in Robust Optimal Power Flow Analysis
  14. On-line Control of DERs to Enhance the Dynamic Thermal Rating of Transmission Lines
  15. Decentralized Smart Grid Voltage Control by Synchronization of Linear Multiagent Systems in the Presence of Time-Varying Latencies
  16. Development and Experimental Validation of a Super-Synchronized Phasor Measurement Unit
  17. An Optimization-based Method for Estimating Critical Inertia in Smart Grids
  18. Fast and reliable uncertain power flow analysis by affine arithmetic
  19. Using local learning with fuzzy transform: application to short term forecasting problems
  20. Affine arithmetic for efficient and reliable resolution of weather-based uncertainties in optimal power flow problems
  21. Wide Area Monitoring Protection and Control Systems: the enablers for enhancing renewable energy hosting capacity
  22. A Decision Support System for the Strategic Operation of Virtual Power Plants in Electricity Markets
  23. Robust Optimization of Energy Hubs Operation Based on Extended Affine Arithmetic
  24. Adaptive Local-learning Models for Synchrophasor-based Dynamic Thermal Rating
  25. Dynamic Thermal Rating for Efficient Management of Post-Contingency Congestions
  26. Robust Optimization and Affine Arithmetic for Microgrid Scheduling under Uncertainty
  27. Handling uncertainties with affine arithmetic and probabilistic OPF for increased utilisation of overhead transmission lines
  28. A review of enabling methodologies for information processing in smart grids
  29. A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids
  30. Classifier economics of Semi-Intrusive Load Monitoring
  31. A reliable architecture based on Precision Time Protocol for WAMPAC synchronization
  32. Solving Uncertain Power Flow Problem by Affine Arithmetic
  33. Time Synchronization Attack in Synchrophasors-based Dynamic Thermal Rating Assessment: Impact and Analysis
  34. A Probabilistic-based Methodology for Wind Power Forecasting considering Generator Reliability
  35. Enabling technologies for distributed temperature monitoring of smart power cables
  36. Experimental deployment of a self-organizing sensors network for dynamic thermal rating assessment of overhead lines
  37. Adaptive Wind Generation Modeling by Fuzzy Clustering of Experimental Data
  38. A Knowledge-Based Framework for Power Flow and Optimal Power Flow Analyses
  39. Extending the common information model for smart grids operational computations based on bus-branch models
  40. A review of the enabling methodologies for PMUs-based dynamic thermal rating of power transmission lines
  41. Local, global and decentralized fuzzy-based computing paradigms for coordinated voltage control of grid-connected photovoltaic systems
  42. An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization
  43. The role of principal component analysis in neural-based wind power forecasting
  44. An interval mathematic based methodology for reliable estimation of transmission line temperature
  45. Design of fuzzy logic controllers for decentralized voltage regulation in grid connected photovoltaic systems
  46. Reactive power control for voltage regulation in the presence of massive pervasion of distributed generators
  47. Joining fuzzy transform and local learning for wind power forecasting
  48. Security-and time-constrained OPF applications
  49. Using fuzzy transform in multi-agent based monitoring of smart grids
  50. Spatial and Temporal Wind Power Forecasting by Case-Based Reasoning Using Big-Data
  51. Nature-inspired Metaheuristic Algorithms for Optimal Voltage Regulation
  52. An Affine Arithmetic-Based Framework for Uncertain Power Flow and Optimal Power Flow Studies
  53. Defining the Fuzzy Transform on Radial Basis
  54. Fuzzy Transform Based Compression of Electric Signal Waveforms for Smart Grids
  55. Conceptualization and Experimental Deployment of an Adaptive Synchronized Sensing System for Power Line Thermal Monitoring
  56. Pakistan geothermal renewable energy potential for electric power generation: A survey
  57. A search group algorithm for optimal voltage regulation in power systems
  58. A Reliable Methodology for Multi-objective Voltage Regulation in the Presence of Renewable Power Generation
  59. On-line smart grids optimization by case-based reasoning on big data
  60. Physical and statistical downscaling for wind power forecasting
  61. Guest Editorial Enabling Technologies and Methodologies for Knowledge Discovery and Data Mining in Smart Grids
  62. A reliable computing framework for dynamic line rating of overhead lines
  63. A Decentralized and Proactive Architecture based on the Cyber Physical System Paradigm for Smart Transmission Grids Modelling, Monitoring and Control
  64. Experimental characterization of consensus protocol for decentralized smart grid metering
  65. Integrating forecasting models in Cyber Physical Power Systems
  66. Affine arithmetic-based methodology for energy hub operation-scheduling in the presence of data uncertainty
  67. Dynamic line rating of overhead lines by cooperative and self-organizing sensor networks
  68. A second order dynamic power flow model
  69. Dynamic Line Rating monitoring in WAMS: Challenges and practical solutions
  70. An optimised methodology to predict the wind farms production
  71. Local Learning-ARIMA adaptive hybrid architecture for hourly electricity price forecasting
  72. Overhead transmission lines dynamic line rating estimation in WAMS environments
  73. An Affine-Arithmetic-Based Consensus Protocol for Smart-Grid Computing in the Presence of Data Uncertainties
  74. A Self-Organizing Architecture for Decentralized Smart Microgrids Synchronization, Control, and Monitoring
  75. A graph theory based methodology for optimal PMUs placement and multiarea power system state estimation
  76. A Novel State Estimation Paradigm Based on Artificial Dynamic Models
  77. A Novel Affine Arithmetic Method to Solve Optimal Power Flow Problems With Uncertainties
  78. A goal programming methodology for multiobjective optimization of distributed energy hubs operation
  79. Computational Intelligence Applications in Smart Grids
  80. An affine arithmetic approach for microgrid dispatch with variable generation and load
  81. Cooperative and self organizing paradigm for wide area synchronized monitoring of Smart Grids: Performance analysis in real operating scenarios
  82. A fault recovery procedure based on Bayesian reasoning and decision analysis
  83. Achieving consensus in self-organizing multi agent systems for smart microgrids computing in the presence of interval uncertainty
  84. Decentralized Economic Dispatch in Smart Grids by Self-Organizing Dynamic Agents
  85. Vulnerability Analysis of Satellite-based Synchronized Smart Grids Monitoring Systems
  86. An Affine Arithmetic-Based Method for Voltage Stability Assessment of Power Systems With Intermittent Generation Sources
  87. A Novel Optimal Power Flow Formulation Based on the Lyapunov Theory
  88. A generalized computing paradigm based on artificial dynamic models for mathematical programming
  89. Dynamic computing paradigm for comprehensive power flow analysis
  90. A Self-Organizing Architecture Based on Cooperative Fuzzy Agents for Smart Grid Voltage Control
  91. Affine arithmetic based methods for voltage and transient stability assessment of power systems with intermittent generation sources
  92. Voltage regulation in active networks by distributed and cooperative meta-heuristic optimizers
  93. On the performance of consensus protocols for decentralized smart grid metering in presence of measurement uncertainty
  94. A Range Arithmetic-Based Optimization Model for Power Flow Analysis Under Interval Uncertainty
  95. Decentralized Consensus Protocols: The Enabler for Smarter Grids Monitoring
  96. Discussion of “Solving non-convex economic dispatch problem with valve point effects using modified group search optimizer method” by Kazem Zare et al. “Electric Power Systems Research” 84 (2012) 83–89
  97. Corrigendum to “A new evolutionary algorithm for non-linear economic dispatch” [Expert Systems with Applications 38 (1) (2011) 13301–13309]
  98. Decentralised smart grids monitoring by swarm-based semantic sensor data analysis
  99. A decentralized and self organizing architecture for wide area synchronized monitoring of smart grids
  100. Corrigendum to “Solution of economic dispatch problems by seeker optimization algorithm” by Binod Shaw et al. “Expert Systems with Applications”, 39 January (2012) 508–519
  101. A robust optimization approach to energy hub management
  102. Discussion of “A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem” Fesanghary et al. “Energy” 34 (2009) 757–766
  103. Discussion of “A new honey bee mating optimization algorithm for non-smooth economic dispatch” Taher Niknam et al. Energy 36 (2011) 896–908
  104. Challenges in energy systems for the smart-cities of the future
  105. A bio inspired computing paradigm for decentralized economic dispatch
  106. An Affine Arithmetic method to solve the stochastic power flow problem based on a mixed complementarity formulation
  107. Gossip Sensor Networks for Power Quality Monitoring in Smart Grids
  108. The role of cooperative information spreading paradigms for Smart Grid monitoring
  109. Adaptive local learning techniques for multiple-step-ahead wind speed forecasting
  110. A Decentralized and Cooperative Architecture for Optimal Voltage Regulation in Smart Grids
  111. A decentralized architecture for voltage regulation in Smart Grids
  112. An adaptive framework based on multi-model data fusion for one-day-ahead wind power forecasting
  113. Multiple-Energy Carriers: Modeling of Production, Delivery, and Consumption
  114. An Integrated Framework for Smart Microgrids Modeling, Monitoring, Control, Communication, and Verification
  115. Reliable Algorithms for Power Flow Analysis in the Presence of Data Uncertainties
  116. Sizing of passive filters in time-varying nonsinusoidal environments
  117. Cooperative fuzzy controllers for autonomous voltage regulation in Smart Grids
  118. An Affine Arithmetic-Based Methodology for Reliable Power Flow Analysis in the Presence of Data Uncertainty
  119. The role of pervasive and cooperative Sensor Networks in Smart Grids communication
  120. The role of cooperative sensor networks in wide area power systems communication
  121. Flexible wide area monitoring, protection and control applications in future power networks
  122. Cooperative sensor networks for voltage quality monitoring in smart grids
  123. A simple and reliable algorithm for computing boundaries of power flow solutions due to system uncertainties
  124. Radial Power Flow Tolerance Analysis by Interval Constraint Propagation
  125. A decision support system for optimal energy sourcing in liberalised energy markets
  126. Voltage regulation in MV networks with dispersed generations by a neural-based multiobjective methodology
  127. Data-driven calibration of power conductors thermal model for overhead lines overload protection
  128. Satellite based communication network for large scale power system applications
  129. Transient tolerance analysis of power cables thermal dynamic by interval mathematic
  130. Dynamic loading of overhead lines by adaptive learning techniques and distributed temperature sensing
  131. Pervasive Grid for Large-Scale Power Systems Contingency Analysis
  132. An Adaptive Local Learning-Based Methodology for Voltage Regulation in Distribution Networks With Dispersed Generation
  133. Performance analysis of low earth orbit satellites for power system communication
  134. The Role of Learning Methods in the Dynamic Assessment of Power Components Loading Capability
  135. A novel architecture for the optimal control and management of electricity distribution systems
  136. A Distributed Architecture for Online Power Systems Security Analysis
  137. Thermal rating assessment of overhead lines by Affine Arithmetic
  138. Semiphysical modelling architecture for dynamic assessment of power components loading capability
  139. Power cables' thermal protection by interval simulation of imprecise dynamical systems
  140. Parameter identification of power transformers thermal model via genetic algorithms
  141. Application of local memory-based techniques for power transformer thermal overload protection
  142. Neural diagnostic system for transformer thermal overload protection
  143. Prototyping of a distributed java based client/server architecture for e-assessment of power equipments loading capability
  144. Perfon-nance analysis of LEO satellites based communication systems for remote monitoring and protection of power components
  145. An affline arithmetic based methodology for the thermal rating assessment of overhead lines in the presence of data uncertainty