State of the art of machine learning models in energy systems, a systematic review
Machine learning (ML) models have been widely used in the modeling, design and
prediction in energy systems. During the past two decades, there has been a dramatic …
prediction in energy systems. During the past two decades, there has been a dramatic …
Sustainable business models: A review
S Nosratabadi, A Mosavi, S Shamshirband… - Sustainability, 2019 - mdpi.com
During the past two decades of e-commerce growth, the concept of a business model has
become increasingly popular. More recently, the research on this realm has grown rapidly …
become increasingly popular. More recently, the research on this realm has grown rapidly …
A hybrid decision making approach for new service development process of renewable energy investment
This study aims at evaluating new service development (NSD) process of renewable energy
investments. A novel fuzzy hybrid multi-criteria decision-making model is then introduced …
investments. A novel fuzzy hybrid multi-criteria decision-making model is then introduced …
Landfill site selection for medical waste using an integrated SWARA-WASPAS framework based on spherical fuzzy set
Selecting suitable locations for the disposal of medical waste is a serious matter. This study
aims to propose a novel approach to selecting the optimal landfill for medical waste using …
aims to propose a novel approach to selecting the optimal landfill for medical waste using …
An extended interval-valued Pythagorean fuzzy WASPAS method based on new similarity measures to evaluate the renewable energy sources
The recent decade has arisen a significant issue in the energy sector, which is how to select
proper sources of renewable energy as a sustainable substitution for conventional forms of …
proper sources of renewable energy as a sustainable substitution for conventional forms of …
The nexus between e-commerce adoption in a health pandemic and firm performance: The role of pandemic response strategies
This paper takes the initial step in exploring how pandemic response strategies interact with
other enablers of e-commerce adoption in the logistics sector and also determines their …
other enablers of e-commerce adoption in the logistics sector and also determines their …
Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
W Chen, D Sharifrazi, G Liang, SS Band… - Engineering …, 2022 - Taylor & Francis
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous
attention among hydraulic engineers, mainly owing to their established performance with …
attention among hydraulic engineers, mainly owing to their established performance with …
SWARA/WASPAS methods for a marine current energy plant location selection problem
GN Yücenur, A Ipekçi - Renewable Energy, 2021 - Elsevier
Increasing energy demand in the World has led countries to use renewable energy sources
as a result of kinetic energy transformations of nature's building blocks such as wind, solar …
as a result of kinetic energy transformations of nature's building blocks such as wind, solar …
[HTML][HTML] A state-of-the-art review on multi-attribute renewable energy decision making
The utilization of renewable energy sources has come into prominence especially over the
last two decades. In the literature, various methods have been utilized for the evaluation of …
last two decades. In the literature, various methods have been utilized for the evaluation of …
Assessment of renewable energy resources using new interval rough number extension of the level based weight assessment and combinative distance-based …
Abstract Renewable Energy Resources (RERs) are becoming increasingly significant for
energy generation and will have vital for the future of humans, earth, and other living things …
energy generation and will have vital for the future of humans, earth, and other living things …