Professor Nima Amjady
Professor, Renewable Energy Technologies and Director, Centre for New Transition
A distributed VPP-integrated co-optimization framework for energy scheduling, frequency regulation, and voltage support using data-driven distributionally robust optimization with Wasserstein metric
A New Closed-Loop Solar Power Forecasting Method with Sample Selection
Day-Ahead Wind Power Temporal Distribution Forecasting With High Resolution
Economic Model Predictive Control for Microgrid Optimization: A Review
Time Aggregation in Presence of Multiple Variable Energy Resources
A New Multi-Resolution Closed-Loop Wind Power Forecasting Method
Data-Driven Multi-Resolution Probabilistic Energy and Reserve Bidding of Wind Power
Generalizing Time Aggregation to Out-of-sample Data Using Minimum Bipartite Graph Matching for Power Systems Studies
Impact of MMC-HVDC Control on Power System Dynamics: Various Concepts and Parameterization
Interactive Distribution Expansion and Measurement Planning Considering Controlled Partitioning
Optimal Solar and Energy Storage System Sizing for Behind the Meter Applications
Resiliency-Oriented operation of distribution networks under unexpected wildfires using Multi-Horizon Information-Gap decision theory
A Linearized AC Planning Model for Generations and SFCLs Incorporating Transient Stability and Short-Circuit Constraints
A New Solar Power Prediction Method Based on Feature Clustering and Hybrid-Classification-Regression Forecasting
Evaluating resiliency of electric power generators against earthquake to maintain synchronism
Guest Editorial for the Special Section on Advances in Renewable Energy Forecasting: Predictability, Business Models and Applications in the Power Industry
Maximizing the utilization of existing grids for renewable energy integration
Microgrid Operation Optimization Considering Transient Stability Constraints: A New Bidirectional Stochastic Adaptive Robust Approach
A critical review on definitions, indices, and uncertainty characterization in resiliency-oriented operation of power systems
A Distributionally Robust AC Network-Constrained Unit Commitment
A Two-stage Adaptive Robust Model for Residential Micro-CHP Expansion Planning
Contingency-constrained operation optimization of microgrid with wind and solar generations: A decision-driven stochastic adaptive-robust approach
Convex Model for Controlled Islanding in Transmission Expansion Planning to Improve Frequency Stability
Data-Driven Classifier for Extreme Outage Prediction Based on Bayes Decision Theory
Energy Storage as a Service: Optimal sizing for Transmission Congestion Relief
Joint investment of community energy storage systems in distribution networks using modified Nash bargaining theory
Multiscale Multiresolution Generation Maintenance Scheduling: A Stochastic Affinely Adjustable Robust Approach
Nested Bilevel Optimization for DERA Operation Strategy: A Stochastic Multiobjective IGDT Model with Hybrid Endogenous/Exogenous Scenarios
Reintegration-based controlled islanding considering fast and slow active/reactive corrective actions to enhance frequency and transient voltage stabilities
Tracking Equilibrium Point under Real-Time Price-Based Residential Demand Response
A decoupled extended power flow analysis based on Newton-Raphson method for islanded microgrids
A linearized energy hub operation model at the presence of uncertainties: An adaptive robust solution approach
A Robust Coordinated Expansion Planning Model for Wind Farm-Integrated Power Systems with Flexibility Sources Using Affine Policies
Energy Storage as a Service: Optimal Pricing for Transmission Congestion Relief
Frequency-constrained unit-commitment using analytical solutions for system frequency responses considering generator contingencies
Incorporating energy storage and demand response into intentional controlled islanding using time decomposition
Robust Resiliency-Oriented Operation of Active Distribution Networks Considering Windstorms
Short-Circuit Constrained Power System Expansion Planning Considering Bundling and Voltage Levels of Lines
Transmission Expansion Planning including TCSCs and SFCLs: A MINLP Approach
VPP Self-Scheduling Strategy Using Multi-Horizon IGDT, Enhanced Normalized Normal Constraint, and Bi-Directional Decision-Making Approach
Adaptive-robust multi-resolution generation maintenance scheduling with probabilistic reliability constraint
Adaptive robust optimization framework for day-ahead microgrid scheduling
Affinely adjustable robust bidding strategy for a solar plant paired with a battery storage
A hybrid estimation and identification method for online calculation of voltage-dependent load parameters
A new AC OPF tool for sub-transmission networks considering distribution switching actions and load-transferring capability
Demand Response-Based Operation Model in Electricity Markets With High Wind Power Penetration
Enhanced goal attainment method for solving multi-objective security-constrained optimal power flow considering dynamic thermal rating of lines
Incorporating bus-bar switching actions into AC optimal power flow to ovoid over-current status
Novel notions of zero injection property of buses in optimal PMU location with efficient observability enhancement focusing on security concepts
Optimal operation strategy for multi-carrier energy systems including various energy converters by multi-objective information gap decision theory and enhanced directed search domain method
Optimal placement of resistive/inductive SFCLs considering short-circuit levels using complex artificial bee colony algorithm
Optimal substation-based joint allocation of PMUs and measuring channels considering network expansion planning
Stochastic multiobjective generation maintenance scheduling using augmented normalized normal constraint method and stochastic decision maker
A critical review of robust self-scheduling for generation companies under electricity price uncertainty
Adaptive robust AC optimal power flow considering load and wind power uncertainties
Adaptive Robust Expansion Planning for a Distribution Network with DERs
Adaptive Robust Self-Scheduling for a Wind Producer with Compressed Air Energy Storage
A Multistage Robust Transmission Expansion Planning Model Based on Mixed Binary Linear Decision Rules - Part I
A Multistage Robust Transmission Expansion Planning Model Based on Mixed-Binary Linear Decision Rules - Part II
A Robust Model for Multiyear Distribution Network Reinforcement Planning Based on Information-Gap Decision Theory
A techno-economic assessment for replacement of conventional fossil fuel based technologies in animal farms with biogas fueled CHP units
Enhancing power system state estimation by incorporating equality constraints of voltage dependent loads and zero injections
Improved normalised normal constraint method to solve multi-objective optimal power flow problem
Improving topology error identification through considering parameter and measurement errors
Multistage Multiresolution Robust Unit Commitment with Nondeterministic Flexible Ramp Considering Load and Wind Variabilities
Non-deterministic optimal power flow considering the uncertainties of wind power and load demand by multi-objective information gap decision theory and directed search domain method
Robust optimisation-based state estimation considering parameter errors for systems observed by phasor measurement units
Robust security constrained ACOPF via conic programming: Identifying the worst contingencies
Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm
Adaptive Robust Network-Constrained AC Unit Commitment
Adaptive Robust Transmission Expansion Planning Using Linear Decision Rules
A New Feature Selection Technique for Load and Price Forecast of Electrical Power Systems
A new optimal power flow approach for wind energy integrated power systems
A novel two-stage evolutionary optimization method for multiyear expansion planning of distribution systems in presence of distributed generation
Day-Ahead Financial Loss/Gain Modeling and Prediction for a Generation Company
Effective prediction model for Hungarian small-scale solar power output
Modelling and optimisation for costly efficiency improvements on residential appliances considering consumer's income level
Multi-period stochastic security-constrained OPF considering the uncertainty sources of wind power, load demand and equipment unavailability
Operation Scheduling of Battery Storage Systems in Joint Energy and Ancillary Services Markets
Risk-Constrained Bidding and Offering Strategy for a Merchant Compressed Air Energy Storage Plant
Risk-minimizing stochastic self-scheduling model for microgrid in day-ahead electricity market
Short term wind power prediction based on improved kriging interpolation, Empirical Mode Decomposition, and closed-loop forecasting engine
A multiyear DG-incorporated framework for expansion planning of distribution networks using binary chaotic shark smell optimization algorithm
A new hybrid stochastic-robust optimization approach for self-scheduling of generation companies
A new metaheuristic algorithm based on shark smell optimization
A new multi-objective solution approach to solve transmission congestion management problem of energy markets
Flexibility in future power systems with high renewable penetration: A review
Net demand prediction for power systems by a new neural network-based forecasting engine
Optimal integration of multiple wind farms into bulk electric system considering wind speed correlation uncertainties
Reliability-Constrained Robust Power System Expansion Planning
Robust Transmission and Energy Storage Expansion Planning in Wind Farm-Integrated Power Systems Considering Transmission Switching
Short-term load forecast of electrical power system by radial basis function neural network and new stochastic search algorithm
Solution of security constrained optimal power flow for large-scale power systems by convex transformation techniques and Taylor series
Special protection scheme against voltage collapse
Stochastic security-constrained optimal power flow incorporating preventive and corrective actions
A Fourier Based Wavelet Approach Using Heisenberg's Uncertainty Principle and Shannon's Entropy Criterion to Monitor Power System Small Signal Oscillations
A new two-stage framework for voltage stability enhancement incorporating preventive and corrective control actions
Electricity price forecast using Combinatorial Neural Network trained by a new stochastic search method
Optimal design of power system stabilizer for power systems including doubly fed induction generator wind turbines
Optimal dynamic expansion planning of distribution systems considering non-renewable distributed generation using a new heuristic double-stage optimization solution approach
Prediction of dynamic voltage stability status based on Hopf and limit induced bifurcations using extreme learning machine
Prediction of Generators' Participation Factors and Oscillation Types for Dominant Oscillatory Modes of Power System
Security constrained multi-period optimal power flow by a new enhanced artificial bee colony
Self-scheduling of a wind producer based on Information Gap Decision Theory
Short-term electricity load forecasting of buildings in microgrids
Short-term wind power prediction based on Hybrid Neural Network and chaotic shark smell optimization
Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm
A new dual lagrangian model and input/output feedback linearization control of 3-phase/level NPC voltage-source rectifier [Novi dualni Langrangeov model i upravljanje trofaznim trorazinskim NPC naponskim ispravljačem zasnovano na ulazno/izlaznoj linearizaciji u povratnoj vezi]
A new evolutionary solution method for dynamic expansion planning of DG-integrated primary distribution networks
Event-based remedial action scheme against super-component contingencies to avert frequency and voltage instabilities
Generation and transmission expansion planning: MILP-based probabilistic model
Hydrothermal coordination by bi-level optimization and composite constraint handling method
Multi-objective robust transmission expansion planning using information-gap decision theory and augmented ?-constraint method
Non-convex security constrained optimal power flow by a new solution method composed of Benders decomposition and special ordered sets
Stochastic security-constrained hydrothermal unit commitment considering uncertainty of load forecast, inflows to reservoirs and unavailability of units by a new hybrid decomposition strategy
System modeling and optimization for islanded micro-grid using multi-cross learning-based chaotic differential evolution algorithm
The value of intra-day markets in power systems with high wind power penetration
Two-stage robust generation expansion planning: A mixed integer linear programming model
Application of information-gap decision theory to risk-constrained self-scheduling of GenCos
Hydrothermal unit commitment with AC constraints by a new solution method based on benders decomposition
Robust transmission system expansion considering planning uncertainties
Security-constrained self-scheduling of generation companies in day-ahead electricity markets considering financial risk
Security constrained unit commitment of power systems by a new combinatorial solution strategy composed of enhanced harmony search algorithm and numerical optimization
Solution of economic load dispatch problem via hybrid particle swarm optimization with time-varying acceleration coefficients and bacteria foraging algorithm techniques
Solution of large-scale security constrained optimal power flow by a new bi-level optimisation approach based on enhanced gravitational search algorithm
Stochastic self-scheduling of generation companies in day-ahead multi-auction electricity markets considering uncertainty of units and electricity market prices
A new stochastic search technique combined with scenario approach for dynamic state estimation of power systems
A scenario-based multiobjective operation of electricity markets enhancing transient stability
Data mining for electricity price classification and the application to demand-side management
Dynamic voltage stability constrained congestion management framework for deregulated electricity markets
Optimal complex economic load dispatch solution using particle swarm optimization with time varying acceleration coefficient
Security-constrained unit commitment considering hydro units and ac network modeling by a new hybrid solution method composed of benders decomposition and outer approximation
Solution of optimal power flow subject to security constraints by a new improved bacterial foraging method
Stochastic security-constrained joint market clearing for energy and reserves auctions considering uncertainties of wind power producers and unreliable equipment
A new hybrid iterative method for short-term wind speed forecasting
A new neural network approach to short term load forecasting of electrical power systems
A new prediction strategy for price spike forecasting of day-ahead electricity markets
Demand-side reserve in stochastic market clearing of joint energy/reserve auctions
Dynamic voltage stability prediction of power systems by a new feature selection technique and probabilistic neural network
Economic impact of price forecasting inaccuracies on self-scheduling of generation companies
Evaluation of Hopf bifurcation considering the effect of load models and excitation system parameters
Midterm demand prediction of electrical power systems using a new hybrid forecast technique
Multi-objective congestion management by modified augmented ?-constraint method
Multi-objective electricity market clearing considering dynamic security by lexicographic optimization and augmented epsilon constraint method
Security constrained optimal power flow considering detailed generator model by a new robust differential evolution algorithm
Security Constrained Unit Commitment by a new adaptive hybrid stochastic search technique
Short-term wind power forecasting using ridgelet neural network
Stochastic multi-objective congestion management in power markets improving voltage and transient stabilities
Wind power prediction by a new forecast engine composed of modified hybrid neural network and enhanced particle swarm optimization
A new spinning reserve requirement forecast method for deregulated electricity markets
Application of a new hybrid neuro-evolutionary system for day-ahead price forecasting of electricity markets
A stochastic framework for clearing of reactive power market
Congestion management enhancing transient stability of power systems
Daily Hydrothermal Generation Scheduling by a new Modified Adaptive Particle Swarm Optimization technique
Day-ahead electricity price forecasting by modified relief algorithm and hybrid neural network
Determination of frequency stability border of power system to set the thresholds of under frequency load shedding relays
Electricity market price spike analysis by a hybrid data model and feature selection technique
Incorporating power system security into market-clearing of day-ahead joint energy and reserves auctions
Multiobjective clearing of coupled active and reactive power market considering power system security
Pay-as-bid based reactive power market
Reactive power market development considering power system security
Short-term load forecast of microgrids by a new bilevel prediction strategy
Solution of nonconvex and nonsmooth economic dispatch by a new Adaptive Real Coded Genetic Algorithm
Solution of non-convex Economic Dispatch problem considering valve loading effect by a new Modified Differential Evolution algorithm
Stochastic congestion management considering power system uncertainties
Stochastic congestion management in power markets using efficient scenario approaches
Stochastic market-clearing of joint energy and reserves auctions
Transient stability prediction of power systems by a new synchronism status index and hybrid classifier
Congestion management considering voltage security of power systems
Coupled energy and reactive power market clearing considering power system security
Day-ahead price forecasting of electricity markets by a hybrid intelligent system
Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique
Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm
Design of input vector for day-ahead price forecasting of electricity markets
Economic dispatch using an efficient real-coded genetic algorithm
Evaluation of the maximum loadability point of power systems considering the effect of static load models
Joint market clearing in a stochastic framework considering power system security
Market clearing of joint energy and reserves auctions using augmented payment minimization
Market data analysis and short-term price forecasting in the Iran electricity market with pay-as-bid payment mechanism
Mixed price and load forecasting of electricity markets by a new iterative prediction method
Multiobjective clearing of reactive power market in deregulated power systems
Multi-objective congestion management incorporating voltage and transient stabilities
Multi-objective market clearing of joint energy and reserves auctions ensuring power system security
Nonconvex economic dispatch with AC constraints by a new real coded genetic algorithm
Optimal bidding strategy of power generating companies with consideration of load forecast uncertainty
Reactive Power Pricing Problems & a Proposal for a Competitive Market
Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm
Stochastic multiobjective market clearing of joint energy and reserves auctions ensuring power system security
Unit commitment using a new integer coded genetic algorithm
A method for reserve clearing in disaggregated model considering lost opportunity cost
Cost-benefit analysis and MILP for optimal reserve capacity determination in power system
Day ahead price forecasting of electricity markets by a mixed data model and hybrid forecast method
Mid-term load forecasting of power systems by a new prediction method
Small disturbance voltage stability assessment of power systems by modal analysis and dynamic simulation
Short-term bus load forecasting of power systems by a new hybrid method
Transient stability prediction by a hybrid intelligent system
Day-ahead price forecasting of electricity markets by a new fuzzy neural network
Energy price forecasting: Problems and proposals for such predictions
Generation adequacy assessment of power systems by time series and fuzzy neural network
Application of a new sensitivity analysis framework for voltage contingency ranking
A framework of reliability assessment with consideration effect of transient and voltage stabilities
Dynamic voltage security assessment by a neural network based method
Improving voltage security assessment and ranking vulnerable buses with consideration of power system limits
Optimal reliable operation of hydrothermal power systems with random unit outages
Voltage security assessment and vulnerable bus ranking of power systems
Optimal Reliable Operation of Hydrothermal Power Systems with Random Unit Outages
Voltage security monitoring of power systems by a new continuation method
Short-term hourly load forecasting using time-series modeling with peak load estimation capability
Short-term hourly load forecasting using time-series modeling with peak load estimation capability
Application of an error adaptive finite element method for the solution of static electromagnetic problems
Application of a new neural network to on-line voltage stability assessment
Evaluation of power systems reliability by an artificial neural network