Outlook on biofuels in future studies: A systematic literature review
Foresight methods are useful for long-range planning such as strategic energy
management, energy policy, and renewable and sustainable energy planning to manage …
management, energy policy, and renewable and sustainable energy planning to manage …
Progress in ecosystem services research: A guide for scholars and practitioners
AV Torres, C Tiwari, SF Atkinson - Ecosystem Services, 2021 - Elsevier
The study of ecosystem services enables the understanding of the services that ecosystems
provide at the landscape level by explaining the relationship between natural capital …
provide at the landscape level by explaining the relationship between natural capital …
Improving renewable energy policy planning and decision-making through a hybrid MCDM method
Shifting from fossil to clean energy sources is a major global challenge, but in particular for
those countries with substantial fossil-fuel reserves and economies depending on fossil-fuel …
those countries with substantial fossil-fuel reserves and economies depending on fossil-fuel …
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
The main challenges of the energy consumption forecasting problem are the concerns for
reliability, stability, efficiency and accuracy of the forecasting methods. The existing …
reliability, stability, efficiency and accuracy of the forecasting methods. The existing …
An integrated multi-criteria decision making model for sustainability performance assessment for insurance companies
R Gharizadeh Beiragh, R Alizadeh, S Shafiei Kaleibari… - Sustainability, 2020 - mdpi.com
To stay competitive in a business environment, continuous performance evaluation based
on the triple bottom line standard of sustainability is necessary. There is a gap in addressing …
on the triple bottom line standard of sustainability is necessary. There is a gap in addressing …
Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach
R Alizadeh, RG Beiragh, L Soltanisehat… - Energy Economics, 2020 - Elsevier
To evaluate the performance of complex electricity generation systems, a new dynamic
network-based data envelopment analysis (DNDEA) approach is presented. Past data …
network-based data envelopment analysis (DNDEA) approach is presented. Past data …
Deep reinforcement learning approach for solving joint pricing and inventory problem with reference price effects
Q Zhou, Y Yang, S Fu - Expert Systems with Applications, 2022 - Elsevier
Reference prices, developed by consumers who frequently buy their desired products or
services and form psychological price expectations as a benchmark, have significant …
services and form psychological price expectations as a benchmark, have significant …
Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations
Dubai is an emerging metropolis with unique features, such as an extremely high expatriate
ratio and turnover rate. These features, along with the extreme climatic conditions and …
ratio and turnover rate. These features, along with the extreme climatic conditions and …
Process knowledge-based random forest regression for model predictive control on a nonlinear production process with multiple working conditions
L Sun, Y Ji, X Zhu, T Peng - Advanced Engineering Informatics, 2022 - Elsevier
In process industry, predictive control approaches have been widely used for nonlinear
production processes. Practically, the predictor in a predictive controller is extremely …
production processes. Practically, the predictor in a predictive controller is extremely …
Ensemble of surrogates and cross-validation for rapid and accurate predictions using small data sets
In engineering design, surrogate models are often used instead of costly computer
simulations. Typically, a single surrogate model is selected based on the previous …
simulations. Typically, a single surrogate model is selected based on the previous …