Hyperparameter optimization strategies for machine learning-based stochastic energy efficient scheduling in cyber-physical production systems

PS Pravin, JZM Tan, KS Yap, Z Wu - Digital Chemical Engineering, 2022 - Elsevier
One of the major challenges faced by system operators in an integrated energy system (IES)
is to come up with an optimal schedule of the energy generation units in the presence of …

Data-driven stochastic robust optimization for industrial energy system considering renewable energy penetration

F Shen, L Zhao, W Du, W Zhong, X Peng… - ACS Sustainable …, 2022 - ACS Publications
Achieving carbon neutrality has been one of the main tasks these decades. In this study,
renewable energies were introduced to reduce the greenhouse gas emissions of industrial …

[HTML][HTML] Research on management informatization construction of electric power enterprise based on big data technology

X Zhao - Energy Reports, 2022 - Elsevier
Background: The energy industry is the leader of the third industrial revolution, and the field
of big data is the concrete embodiment of the Internet. With the advent of the era of big data …

Prediction of superheated steam temperature for thermal power plants using a novel integrated method based on the hybrid model and attention mechanism

P Wang, F Si, Y Cao, Z Shao, S Ren - Applied Thermal Engineering, 2022 - Elsevier
The stability of superheated steam temperature (SST) is severely challenged by the
adjustment of thermal power plants under a wide-load range. Accurate and efficient …

An operational scheduling framework for Electric Vehicle Battery Swapping Station under demand uncertainty

DS Nayak, S Misra - Energy, 2024 - Elsevier
This paper proposes a novel mathematical optimization model aimed at incorporating
demand response strategies in the operational scheduling problem of Electric Vehicle (EV) …

Comparative life cycle assessment of industrial demand-side management via operational optimization

B Nilges, C Burghardt, K Roh, C Reinert… - Computers & Chemical …, 2023 - Elsevier
Demand-side management (DSM) is a promising option to synchronize electricity demand
with volatile electricity generation by renewable energy sources. For a comprehensive …

ASU model with multiple adjustment types for oxygen scheduling concerning pipe pressure safety in steel enterprises

L Zhang, Z Zheng, Y Chai, Z Xu, K Zhang, Y Liu… - Applied Energy, 2023 - Elsevier
Steel production requires enough oxygen, which is produced by cryogenic air separation
(ASU) with a large load, high power, and slow adjustment. Facing complex oxygen …

Learning-based scheduling of industrial hybrid renewable energy systems

PS Pravin, Z Luo, L Li, X Wang - Computers & Chemical Engineering, 2022 - Elsevier
The propagation of distributed renewable energy resources poses several challenges in the
operation of microgrids due to uncertainty. In traditional energy scheduling approaches, the …

Stochastic optimization approaches in solving energy scheduling problems under uncertainty

PS Pravin, X Wang - IFAC-PapersOnLine, 2022 - Elsevier
This paper focuses on evaluating the performances of various approaches to solve a day-
ahead energy scheduling Mixed Integer Linear Programming (MILP) cost minimization …

[Retracted] Application of Nanocomposite Energy Storage Materials in Green Building Design

Y Xu - International Journal of Analytical Chemistry, 2022 - Wiley Online Library
In order to solve the problem of the application of composite phase change heat storage
materials in building energy conservation, the author proposes the application of …