Fuzzy multi-objective programming: A systematic literature review
N Karimi, MR Feylizadeh, K Govindan… - Expert systems with …, 2022 - Elsevier
Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …
arise in solving optimization problems. Over the past decades, classical optimization …
Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs
This paper presents a self-scheduling model for home energy management systems
(HEMS) in which a novel formulation of a linear discomfort index (DI) is proposed …
(HEMS) in which a novel formulation of a linear discomfort index (DI) is proposed …
An examination of the impact of flexibility and agility on mitigating supply chain disruptions
This paper examines the effect of flexibility and agility on improving supply chain
responsiveness. We examine a supply chain with multiple sites, multiple transportation …
responsiveness. We examine a supply chain with multiple sites, multiple transportation …
[HTML][HTML] Multi-objective framework for a home energy management system with the integration of solar energy and an electric vehicle using an augmented ε-constraint …
Recent innovations in smart grid technology have increased the utilization of advanced
techniques and control methods, enabling consumers to purchase and sell electricity more …
techniques and control methods, enabling consumers to purchase and sell electricity more …
Two-stage stochastic framework for energy hubs planning considering demand response programs
The integrated use of electricity and natural gas has captured great attention over recent
years, mainly due to the high efficiency and economic considerations. According to the …
years, mainly due to the high efficiency and economic considerations. According to the …
Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model
H Khaloie, A Abdollahi, M Shafie-Khah… - Applied Energy, 2020 - Elsevier
Renewable energy resources such as wind, either individually or integrated with other
resources, are widely considered in different power system studies, especially self …
resources, are widely considered in different power system studies, especially self …
Stochastic model predictive control for economic/environmental operation management of microgrids: An experimental case study
Microgrids are subsystems of the distribution grid which comprises generation capacities,
storage devices and flexible loads, operating as a single controllable system either …
storage devices and flexible loads, operating as a single controllable system either …
A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units
With increasing penetration of renewable energy sources, it is necessary to analyze its
impact on the allocation of optimal power generation schedule. In this work, the pumped …
impact on the allocation of optimal power generation schedule. In this work, the pumped …
Multi-period stochastic optimization of a sustainable multi-feedstock second generation bioethanol supply chain− A logistic case study in Midwestern United States
A Osmani, J Zhang - Land use policy, 2017 - Elsevier
This work proposes a multi-objective optimization model to design a sustainable multi-
period second generation biomass-to-bioethanol supply chain under multiple uncertainties …
period second generation biomass-to-bioethanol supply chain under multiple uncertainties …
A Comprehensive Review on Applications of Grey Wolf Optimizer in Energy Systems
In the field of optimization problems, the optimization of energy systems problems is of
significant importance, mainly due to their dramatic role in achieving sustainability. The …
significant importance, mainly due to their dramatic role in achieving sustainability. The …