Wave energy converter array layout optimization: A critical and comprehensive overview

B Yang, S Wu, H Zhang, B Liu, H Shu, J Shan… - … and Sustainable Energy …, 2022 - Elsevier
The production efficiency and optimal control of wave energy converter (WEC) array are
mainly based on array layout, thus it is crucial to establish a reliable mathematical model for …

State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis

B Yang, L Zhong, J Wang, H Shu, X Zhang, T Yu… - Journal of Cleaner …, 2021 - Elsevier
Wind energy has the inherent nature of intermittence and randomness, such that its accurate
prediction is extremely critical to ensure safe and stable operation of power system with …

Photovoltaic power forecasting with a hybrid deep learning approach

G Li, S **e, B Wang, J **n, Y Li, S Du - IEEE access, 2020 - ieeexplore.ieee.org
Solar energy is the key to clean energy, which can generate large amounts of electricity for
the future smart grid. Unfortunately, the randomness and intermittency of solar energy …

Two-stage distributionally robust optimization-based coordinated scheduling of integrated energy system with electricity-hydrogen hybrid energy storage

Y Qiu, Q Li, Y Ai, W Chen, M Benbouzid… - … and Control of …, 2023 - ieeexplore.ieee.org
A coordinated scheduling model based on two-stage distributionally robust optimization
(TSDRO) is proposed for integrated energy systems (IESs) with electricity-hydrogen hybrid …

Model prediction control-based energy management combining self-trending prediction and subset-searching algorithm for hydrogen electric multiple unit train

Q Li, P Liu, X Meng, G Zhang, Y Ai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To apply the actual fuel cell hybrid system, improve the efficiency of fuel cells, and reduce
the operating cost, the model predictive control (MPC)-based energy management strategy …

Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing

F Wang, X Ge, P Yang, K Li, Z Mi, P Siano, N Duić - Energy, 2020 - Elsevier
This paper addresses the optimal decision problem of a distributed energy resources (DER)
aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) …

Transmission and distribution network-constrained large-scale demand response based on locational customer directrix load for accommodating renewable energy

Y Meng, S Fan, Y Shen, J **ao, G He, Z Li - Applied Energy, 2023 - Elsevier
Large-scale demand response (DR) is a promising solution to mitigate the problem of
renewable energy (RE) curtailment with the rising proliferation of RE in both the …

Evaluating the dispatchable capacity of base station backup batteries in distribution networks

P Yong, N Zhang, Q Hou, Y Liu, F Teng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Cellular base stations (BSs) are equipped with backup batteries to obtain the uninterruptible
power supply (UPS) and maintain the power supply reliability. While maintaining the …

Environmental corporate social responsibility activities in heating industry—Case study

R Wolniak, A Wyszomirski, M Olkiewicz, A Olkiewicz - Energies, 2021 - mdpi.com
The paper focuses on problems connected with Environmental Corporate Social
responsibility in the energy industry. The objective behind this article is to analyse pro …

Recent advances and summarization of fault diagnosis techniques for proton exchange membrane fuel cell systems: A critical overview

J Wang, B Yang, C Zeng, Y Chen, Z Guo, D Li… - Journal of Power …, 2021 - Elsevier
With soaring growth in the utilization of proton exchange membrane fuel cell (PEMFC)
systems on various applications, researches on fault diagnosis techniques of PEMFC …