Related references
Note: Only part of the references are listed.Comparative analysis of multi-criteria probabilistic FR and AHP models for forest fire risk (FFR) mapping in Melghat Tiger Reserve (MTR) forest
Narayan Kayet et al.
JOURNAL OF FORESTRY RESEARCH (2020)
Capacity Planning of Energy Hub in Multi-Carrier Energy Networks: A Data-Driven Robust Stochastic Programming Approach
Yang Cao et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Dynamic Structural Sizing of Residential Energy Hubs
Soroush Senemmar et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms
Erfan Babaee Tirkolaee et al.
JOURNAL OF CLEANER PRODUCTION (2020)
District energy system optimisation under uncertain demand: Handling data-driven stochastic profiles
B. Pickering et al.
APPLIED ENERGY (2019)
Robust scheduling of thermal, cooling and electrical hub energy system under market price uncertainty
Afshin Najafi-Ghalelou et al.
APPLIED THERMAL ENGINEERING (2019)
Standardized modelling and economic optimization of multi-carrier energy systems considering energy storage and demand response
Tianhao Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Risk-constrained energy management of PV integrated smart energy hub in the presence of demand response program and compressed air energy storage
Mohammad Jadidbonab et al.
IET RENEWABLE POWER GENERATION (2019)
Probabilistic optimization in operation of energy hub with participation of renewable energy resources and demand response
Davood Rakipour et al.
ENERGY (2019)
Flexible dispatch of a building energy system using building thermal storage and battery energy storage
Jide Niu et al.
APPLIED ENERGY (2019)
Optimal operation of a multi-energy system considering renewable energy sources stochasticity and impacts of electric vehicles
Mustafa Ata et al.
ENERGY (2019)
The energy hub: An extensive survey on the state-of-the-art
Hadi Sadeghi et al.
APPLIED THERMAL ENGINEERING (2019)
Optimal operation of electrical and thermal resources in microgrids with energy hubs considering uncertainties
Mohammad H. Shams et al.
ENERGY (2019)
Interactive decentralized operation with effective presence of renewable energies using multi-agent systems
Amir Mohammad Alishavandi et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
A Multi-Step Modeling and Optimal Operation Calculation Method for Large-Scale Energy Hub Model Considering Two Types Demand Responses
Dongdong Zhang et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
MILP model for integrated expansion planning of multi-carrier active energy systems
Hosein Ghasemi et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2019)
Robust planning-operation co-optimization of energy hub considering precise model of batteries' economic efficiency
Cong Chen et al.
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS (2019)
Demand Response schemes in Energy Hubs: A comparison study
C. N. Papadimitriou et al.
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY (TMREES) (2019)
Optimal Scheduling of an Regional Integrated Energy System with Energy Storage Systems for Service Regulation
Hengrui Ma et al.
ENERGIES (2018)
Generalized modeling and optimal management of energy hub based electricity, heat and cooling demands
Mohammad Salehimaleh et al.
ENERGY (2018)
Optimal Scheduling of Biogas-Solar-Wind Renewable Portfolio for Multicarrier Energy Supplies
Bin Zhou et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2018)
A scenario-based optimization of Smart Energy Hub operation in a stochastic environment using conditional-value-at-risk
Mahmoud Roustai et al.
SUSTAINABLE CITIES AND SOCIETY (2018)
A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions
Xingxing Zhang et al.
APPLIED ENERGY (2018)
Providing an integrated Model for Planning and Scheduling Energy Hubs and preventive maintenance
S. Amiri et al.
ENERGY (2018)
Robust optimal offering strategy of large consumer using IGDT considering demand response programs
Sayyad Nojavan et al.
ELECTRIC POWER SYSTEMS RESEARCH (2016)
Large Consumer Electricity Acquisition Considering Time-of-Use Rates Demand Response Programs
Sayyad Nojavan et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2014)
Optimal power flow of multiple energy carriers
Martin Geidl et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2007)