Outlook on biofuels in future studies: A systematic literature review

R Alizadeh, PD Lund, L Soltanisehat - Renewable and Sustainable Energy …, 2020 - Elsevier
Foresight methods are useful for long-range planning such as strategic energy
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 …

Improving renewable energy policy planning and decision-making through a hybrid MCDM method

R Alizadeh, L Soltanisehat, PD Lund, H Zamanisabzi - Energy Policy, 2020 - Elsevier
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 …

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks

N **, F Yang, Y Mo, Y Zeng, X Zhou, K Yan… - Advanced Engineering …, 2022 - Elsevier
The main challenges of the energy consumption forecasting problem are the concerns for
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 …

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 …

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 …

Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations

M Abdallah, MA Talib, M Hosny, OA Waraga… - Advanced Engineering …, 2022 - Elsevier
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 …

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 …

Ensemble of surrogates and cross-validation for rapid and accurate predictions using small data sets

R Alizadeh, L Jia, AB Nellippallil, G Wang, J Hao… - AI EDAM, 2019 - cambridge.org
In engineering design, surrogate models are often used instead of costly computer
simulations. Typically, a single surrogate model is selected based on the previous …