Journal of Energy Management and Technology

Journal of Energy Management and Technology

Number of Volumes 10
Number of Issues 36
Number of Articles 255
Number of Submissions 597
Number of Contributors 577
Article View 259,609
PDF Download 199,881
View Per Article 1018.07
PDF Download Per Article 783.85

Journal of Energy Management and Technology (JEMT) is a peer-reviewed double-blind academic journal covering research on energy engineering that was established in 2017. It is published by Iran Energy Association (IEA). The Journal of Energy Management and Technology (JEMT) is published seasonally in the form of 4 Issues per year (1 Volume). The style of JEMT is American English. JEMT is published in the form of an E-magazine format.

The main objective of JEMT is to publish original and high-quality researches containing significant results in the area of new technologies across all fields of energy management and technology.

Journal of Energy Management and Technology (JEMT) has qualified to scientific journal (Elmi-Pajouhesi) status certified by the Ministry of Science, Research and Technology of Iran.

The main focus of JEMT will be:

New technologies for energy generation, planning, and scheduling

Energy analysis, modeling, and prediction

Energy conservation and efficiency

Energy management

Optimization of energy systems

Sustainable energy sources

Integrated energy systems

Energy storage systems

Renewable energy sources such as solar, hydro, wind, geothermal, and ocean energy 

 

Outstanding Reviewers of 2024:

1. Amin Mohammadpour Shotorbani
2. Amirhossein Fathi
3. Mohammad  Hemmati
4. Hamdi Abdi
5. Mohsen Kia




JEMT is now indexed in the Directory of Open Access Journals (DOAJ).

Average review process timings:
Submission to initial assessment: 3 days
Initial assessment to acceptance : 16 weeks
Acceptance to efirst: 2 weeks

 

 

 

 

Publication Information

Publisher

Editor-in-Chief
Editorial Board
Managing Editor

Frequency
Quarterly
Online ISSN

Indexing and Abstracting

Keywords Cloud

  • Uncertainty
  • Energy hub
  • microgrid
  • Renewable Energy
  • demand response
  • Distribution network
  • electric vehicles
  • Demand response program
  • distributed generation
  • Reliability
  • Energy management
  • Resilience
  • Energy Saving
  • Multi-Objective Optimization
  • peer-to-peer energy trading
  • anaerobic digestion
  • Economic Dispatch
  • Sustainability
  • Heat Recovery
  • energy Security
  • Building simulation
  • Energy efficiency
  • Electric Vehicle
  • power market
  • Renewable Energy Sources
  • Natural gas
  • Energy storage systems
  • Energy Storage
  • stochastic optimization
  • Energy
  • Wind Energy
  • Wind Turbine
  • Thermal Load
  • power system reliability
  • Risk Management
  • combined heat and power economic dispatch
  • Power Losses
  • Multi-generation system
  • Power sharing
  • sustainable development
  • Power Generation
  • energy consumption
  • Multi-Level Inverter
  • Pollution
  • Smart Home
  • Battery storage
  • Demand response programs
  • reactive power
  • meta-heuristic algorithms
  • multi-objective optimization model
  • Energy storage system
  • Distributed control
  • Smart microgrid
  • Emission footprints
  • Simulation
  • Energy Policy
  • hydrogen
  • Particle Swarm Optimization
  • Sensitivity analysis
  • energy conservation
  • voltage sag
  • Thermodynamic analysis
  • Electricity consumption
  • Leakage Current
  • Reconfiguration
  • virtual power plant
  • robust optimization approach
  • Renewable Resources
  • Genetic Algorithm
  • peak shaving
  • Fuzzy c-means clustering
  • multi-objective
  • robust optimization
  • Grid-connected
  • PV systems
  • valley filling
  • resiliency
  • Exergy efficiency
  • Solar Steam Generation
  • planning
  • High Step-up Converter
  • Photovoltaic
  • flexibility
  • Parametric study
  • cost of energy
  • Distribution system
  • Risk Assessment
  • sustainable development
  • Fuzzy logic
  • Internet of Things
  • Sustainable Architecture
  • Hydrogen production
  • robust
  • off-grid
  • Exhaust Emissions
  • Power quality
  • Generation maintenance scheduling
  • combined heat and power
  • Renewable Energies
  • optimization
  • Doubly fed induction generator
  • Controllable pitch propeller (CPP)
  • marine industry
  • DC-DC converter
  • active damping
  • CO2 emission
  • Expansion planning
  • hBES-MOGWO Algorithm
  • Security assessment
  • Capacity factor
  • fuzzy satisfying technique
  • Blockchain
  • Bioenergy, Polygeneration
  • Foundation Displacement
  • partial Oxidation
  • tube cross-sectional
  • MPSO
  • Combined heat and power unit
  • Optimal allocation
  • Boiling
  • Orthogonal array method
  • SCUC
  • modified Z-source converter
  • Building energy efficiency
  • Petroleum Industry
  • Sliding Mode Controller
  • Solar desalination
  • wind power
  • Artificial Neural Network
  • Planning, Resiliency
  • Hierarchical combination
  • Model Predictive Controller
  • Key words: neo classic architecture
  • Energy Center
  • Liquid insulation
  • Optimal integration
  • Design-builder
  • DFIG
  • Visual Comfort
  • smart grids
  • Energy flexibility
  • Tabu Search Algorithm
  • Decentralized approach
  • Energy recovery
  • Solar Radiation
  • Smart apartment building
  • Robust energy management
  • Pumped-storage hydro plant
  • diesel engine conversion
  • LSTM
  • vehicle-to-building
  • Distribution network expansion planning
  • Strategic offering
  • wind generation
  • diesel generation unit
  • Energy Loss Reduction
  • Geothermal Energy
  • Conditional value-at-risk
  • Hybrid Electric Vehicle
  • partial shading
  • Flash Tank
  • High Energy Intensity
  • Tidal power plant, Adequacy indices
  • Battery energy storage
  • chilled ceiling panel
  • Firefly algorithm (FA)
  • Feedback linearization
  • Pedestrian-Level
  • Special Protection Scheme
  • Electric charge of electric vehicles
  • Hybrid system
  • active power loss minimization
  • Fuzzy Clustering
  • Multilevel converter
  • energy loss
  • Financial Analysis
  • rolling regression
  • Distributed Generation Resources
  • Manufacturing Industries
  • Organic Rankine Cycles (ORCs)
  • Forecasting
  • energy-saving
  • Stochastic scheduling
  • Non-intrusive load monitoring
  • civilized gravitational search algorithm
  • Wind force
  • electrolyser
  • Biodiesel
  • risk area
  • Multiagent MGs
  • power flow constraints
  • adiabatic air energy storage
  • methane reforming
  • Analytical hierarchy process (AHP)
  • Occupancy pattern
  • bi-level modelling
  • Oil &‌ Gas Industry
  • Optimization, Microgrid, Renewable energy, Storage system management, Meta-heuristic algorithms
  • Optimum ratio of wind turbine capacity to solar power plant capacity
  • Renewable based energy hub

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