Stochastic risk-embedded energy management of a hybrid green residential complex based on downside risk constraints considering home crypto miners, adaptive …

VS Tabar, S Tohidi, S Ghassemzadeh - Sustainable Cities and Society, 2023 - Elsevier
Hybrid energy systems can improve the economical and technical aspects of different
infrastructures due to their high efficiency and flexibility. In this study, the energy …

Robust scenario-based concept for stochastic energy management of an energy hub contains intelligent parking lot considering convexity principle of CHP nonlinear …

SM Nosratabadi, M Jahandide, JM Guerrero - Sustainable Cities and …, 2021 - Elsevier
In this paper, an energy management system is taken into account to control some
distributed energy resources spread into an entity. The included facilities are aggregated by …

Risk management strategy for a renewable power supply system in commercial buildings considering thermal comfort and stochastic electric vehicle behaviors

X Xu, W Hu, W Liu, Y Du, R Huang, Q Huang… - Energy Conversion and …, 2021 - Elsevier
Reduction of greenhouse gas emissions in the building sector has become a global concern
in terms of ensuring sustainable development. Thus it is imperative to investigate the …

Stochastic multi-objective energy management in residential microgrids with combined cooling, heating, and power units considering battery energy storage systems …

M Sedighizadeh, M Esmaili… - Journal of Cleaner …, 2018 - Elsevier
Governmental incentives to use clean energy, concerns about high and rising prices of fossil
fuels, and environmental issues are the most important motivations for adding distributed …

Risk-based day-ahead planning of a renewable multi-carrier system integrated with multi-level electric vehicle charging station, cryptocurrency mining farm and …

VS Tabar, S Ghassemzadeh, S Tohidi - Journal of Cleaner Production, 2022 - Elsevier
Integration of different infrastructures has become an interesting subject due to many
advantages such as high flexibility and reliability. However, interconnection and …

A scenario-based optimization of smart energy hub operation in a stochastic environment using conditional-value-at-risk

M Roustai, M Rayati, A Sheikhi, AM Ranjbar - Sustainable cities and …, 2018 - Elsevier
Besides increasing the installation of distributed generation plants, investigation on multi-
carrier energy systems leads recent studies to focus on several aspects of Smart Energy …

Multiobjective home energy management systems in nearly-zero energy buildings under uncertainties considering vehicle-to-home: A novel lexicographic-based …

M Tostado-Véliz, HM Hasanien, S Kamel… - Electric Power Systems …, 2023 - Elsevier
Residential sector is being promoted to evolve towards nearly-Zero Energy Buildings
(nZEBs), which draw a yearly net energy consumption near zero. This target can be attained …

Risk-averse multi-objective optimization of multi-energy microgrids integrated with power-to-hydrogen technology, electric vehicles and data center under a hybrid …

YP Xu, RH Liu, LY Tang, H Wu, C She - Sustainable Cities and Society, 2022 - Elsevier
To achieve zero net emission conditions, multi-energy microgrids (MEMs) have grown
rapidly in recent years. Hydrogen-based technologies and energy conversion systems bring …

Stochastic multi-stage multi-objective expansion of renewable resources and electrical energy storage units in distribution systems considering crypto-currency miners …

VS Tabar, H Banazadeh, M Tostado-Véliz, AR Jordehi… - Renewable Energy, 2022 - Elsevier
In order to mitigate the influence of global warming and greenhouse gasses emission,
different proceedings are suggested such as utilizing renewable energies and demand …

A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty

H Golpîra, SAR Khan - Energy, 2019 - Elsevier
This paper formulates a risk-based robust decision making framework for a Smart Building
(SB) energy management system under demand and supply uncertainty. The last aim of the …