Review of multi-criteria decision-making for sustainable decentralized hybrid energy systems
Sustainable development is a global mission. To address the ongoing climate change is a
major component of it. The global energy transition is aiming to achieve a carbon neutral …
major component of it. The global energy transition is aiming to achieve a carbon neutral …
Load forecasting model considering dynamic coupling relationships using structured dynamic-inner latent variables and broad learning system
Z Gu, Y Shen, Z Wang, J Qiu, W Li, C Huang… - … Applications of Artificial …, 2024 - Elsevier
Integrated energy systems (IES) can effectively regulate and optimize dynamic loads by
utilizing load forecasting, which intelligently manages energy scheduling. Nevertheless, the …
utilizing load forecasting, which intelligently manages energy scheduling. Nevertheless, the …
Optimal sizing of photovoltaic/fuel cell-based energy system with autonomous oxygen production for hospitals in four climatic zones of Pakistan: An economic-energy …
AH Tariq - Renewable Energy Focus, 2023 - Elsevier
The main aim of this paper is to analyze the standalone systems to meet the electrical power
demand without experiencing a shortage/blackout situation in different climatic zones. The …
demand without experiencing a shortage/blackout situation in different climatic zones. The …
Planning off-grid hybrid energy system using techno-economic optimization and wins in league theory-based multi-criteria decision-making method in the wetland …
The unique geographical features of wetlands pose challenges to the conventional energy
infrastructure. To address these challenges, this study proposes the establishment of off-grid …
infrastructure. To address these challenges, this study proposes the establishment of off-grid …
Optimal techno-economic assessment of isolated microgrid integrated with fast charging stations using radial basis deep learning
The global transportation electrification commerce sector is now booming. Stakeholders are
paying an increased attention to the integration of electric vehicles and electric buses into …
paying an increased attention to the integration of electric vehicles and electric buses into …
Carbon and economic prices optimization of a solar-gas coupling energy system with a modified non-dominated sorting genetic algorithm considering operating …
To promote the continuous operating of solar energy systems and increase the proportion of
renewable energy consumption, solar devices are often integrated with conventional energy …
renewable energy consumption, solar devices are often integrated with conventional energy …
Machine learning embedded hybrid MCDM model to mitigate decision uncertainty in transport safety planning for OAS countries
W Zhou, H Feng, Z Guo, H Jia, Y Li, X Luo… - Socio-Economic …, 2024 - Elsevier
Providing defensible decisions is a prerequisite for methodologies of multi-criteria decision-
making (MCDM) activities, and this is especially true for socio-economic analysis in public …
making (MCDM) activities, and this is especially true for socio-economic analysis in public …
Multi-energy load forecasting for integrated energy system based on sequence decomposition fusion and factors correlation analysis
D Peng, Y Liu, D Wang, H Zhao, B Qu - Energy, 2024 - Elsevier
Considering the seasonal and cyclical fluctuation of loads and the complexity of multi-
energy coupling, this paper proposes a novel load forecasting model based on sequence …
energy coupling, this paper proposes a novel load forecasting model based on sequence …
Prediction of emission characteristics of diesel/n-hexanol/graphene oxide blended fuels based on fast outlier detection-sparrow search algorithm-bidirectional …
C Fu, X Cao, L Liang, T Su, W Guan, M Pan… - Process Safety and …, 2024 - Elsevier
This study aims to utilize deep learning (DL) technology to address the issue of carbon soot
emission in traditional internal combustion engines. Spraying and combustion experiments …
emission in traditional internal combustion engines. Spraying and combustion experiments …
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges
Abstract The United Nations' 17 Sustainable Development Goals stress the importance of
global and local efforts to address inequalities and implement sustainability. Addressing …
global and local efforts to address inequalities and implement sustainability. Addressing …