A strategy for multi-objective energy optimization in smart grid considering renewable energy and batteries energy storage system
Multi-objective energy optimization is pivotal for reliable and secure power system
operation. However, multi-objective energy optimization is challenging due to …
operation. However, multi-objective energy optimization is challenging due to …
Sizing and implementing off-grid stand-alone photovoltaic/battery systems based on multi-objective optimization and techno-economic (MADE) analysis
Sun energy is widely utilized to power stand-alone photovoltaic systems (SAPV). However,
the lack of long term hourly meteorological data and inaccurate methods result in obstacles …
the lack of long term hourly meteorological data and inaccurate methods result in obstacles …
Machine learning-assisted tri-objective optimization inspired by grey wolf behavior of an enhanced SOFC-based system for power and freshwater production
In recent years paying attention to the generation of clean and sustainable power and fresh
water along with having lower cost and emission has increased. In the present research, a …
water along with having lower cost and emission has increased. In the present research, a …
The quantitative techno-economic comparisons and multi-objective capacity optimization of wind-photovoltaic hybrid power system considering different energy …
To provide investors with a selection method of energy storage technology, this paper
proposes a quantitative techno-economic comparison method of battery, thermal energy …
proposes a quantitative techno-economic comparison method of battery, thermal energy …
Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach
As the increasing energy demand and rapid depletion of conventional fossil fuel resources,
renewable energy has caused great attention of the public. The main drawback of the …
renewable energy has caused great attention of the public. The main drawback of the …
Multiobjective intelligent energy management optimization for grid-connected microgrids
KS EI-Bidairi, HD Nguyen… - … on Environment and …, 2018 - ieeexplore.ieee.org
In the rapid growing of the green energy technology, microgrid systems with renewable
energy sources (RESs) such as solar, wind and fuel cells are becoming a prevalent and …
energy sources (RESs) such as solar, wind and fuel cells are becoming a prevalent and …
Multi-objective building energy system optimization considering EV infrastructure
With increasing concerns over carbon dioxide emissions, the concept of Zero Energy
Building (ZEB) has emerged. Electric Vehicles (EVs) are also considered environmentally …
Building (ZEB) has emerged. Electric Vehicles (EVs) are also considered environmentally …
A novel data-driven energy management strategy for fuel cell hybrid electric bus based on improved twin delayed deep deterministic policy gradient algorithm
R Huang, H He - International Journal of Hydrogen Energy, 2024 - Elsevier
With the prosperity of artificial intelligence in recent years, energy management strategies
(EMSs) based on deep reinforcement learning (DRL) have become the mainstream …
(EMSs) based on deep reinforcement learning (DRL) have become the mainstream …
Performance evaluation of metaheuristic techniques for optimal sizing of a stand-alone hybrid PV/wind/battery system
This study presents a performance evaluation of ten metaheuristics optimization techniques
that are applied to solve the sizing problem for a stand-alone hybrid renewable energy …
that are applied to solve the sizing problem for a stand-alone hybrid renewable energy …
Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply
Worldwide, the emerging trend of hybrid renewable energy sources integration in modern
power systems is increasing due to privileged prices and clean electricity supply. However …
power systems is increasing due to privileged prices and clean electricity supply. However …