Industry 4.0 and demand forecasting of the energy supply chain: A literature review

AR Nia, A Awasthi, N Bhuiyan - Computers & Industrial Engineering, 2021 - Elsevier
The number of publications in demand forecasting of the energy supply chain augmented
meaningfully due to the 2008 global financial crisis and its consequence on the global …

Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids

S Davoodi, M Mehrad, DA Wood, H Ghorbani… - … Applications of Artificial …, 2023 - Elsevier
Careful design and preparation of drilling fluids with appropriate rheology and filtration
properties, combined with operational monitoring, is essential for successful drilling …

Appraisal of energy loss reduction in green buildings using large-scale experiments compiled with swarm intelligent solutions

H Moayedi, H Yildizhan, M Al-Bahrani… - … Energy Technologies and …, 2023 - Elsevier
Today, the issue of energy efficiency is a major one in global politics. The external
environment, particularly the wind speed and outside air temperature, determines the …

A novel hybrid artificial intelligence approach to the future of global coal consumption using whale optimization algorithm and adaptive neuro-fuzzy inference system

M Jalaee, A GhasemiNejad, SA Jalaee, N Amani Zarin… - Energies, 2022 - mdpi.com
Energy has become an integral part of our society and global economic development in the
twenty-first century. Despite tremendous technological advancements, fossil fuels (coal …

[HTML][HTML] A novel hybrid method based on Cuckoo optimization algorithm and artificial neural network to forecast world's carbon dioxide emission

SA Jalaee, A Shakibaei, H Akbarifard, HR Horry… - MethodsX, 2021 - Elsevier
This paper deals with the global energy consumption to forecast future projections based on
primary energy, global oil, coal and natural gas consumption using a hybrid Cuckoo …

A novel computational intelligence approach for coal consumption forecasting in Iran

MS Jalaee, A Shakibaei, A GhasemiNejad, SA Jalaee… - Sustainability, 2021 - mdpi.com
Coal as a fossil and non-renewable fuel is one of the most valuable energy minerals in the
world with the largest volume reserves. Artificial neural networks (ANN), despite being one …

A modified salp swarm algorithm based on the perturbation weight for global optimization problems

Y Fan, J Shao, G Sun, X Shao - Complexity, 2020 - Wiley Online Library
Metaheuristic algorithms are often applied to global function optimization problems. To
overcome the poor real‐time performance and low precision of the basic salp swarm …

Bacterial receiver prototype for molecular communication using rhamnose operon in a microfluidic environment

A Amerizadeh, A Mashhadian… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Bacterial populations are promising candidates for the development of the receiver and
transmitter nanomachines for molecular communication (MC). A bacterial receiver is …

[HTML][HTML] A novel approach to forecast global CO2 emission using Bat and Cuckoo optimization algorithms

M Bahmani, A GhasemiNejad, FN Robati, NA Zarin - MethodsX, 2020 - Elsevier
This paper presents the application of Bat and Cuckoo optimization algorithm methods to
forecast Global CO 2 emerged from energy consumption. The models are developed in two …

[HTML][HTML] A new hybrid metaheuristic method based on biogeography-based optimization and particle swarm optimization algorithm to estimate money demand in Iran

SA Jalaee, A Shakibaei, HR Horry, H Akbarifard… - MethodsX, 2021 - Elsevier
Money demand is one of the most important economic variables which are a critical
component in appointing and choosing appropriate monetary policy, because it determines …