Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence‐based methods

H Hua, Z Wei, Y Qin, T Wang, L Li… - IET Cyber‐Physical …, 2021 - Wiley Online Library
Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis
and global warming and has aroused the concern of many scholars. In the research of EI …

Impact of battery degradation models on energy management of a grid-connected DC microgrid

S Wang, D Guo, X Han, L Lu, K Sun, W Li, DU Sauer… - Energy, 2020 - Elsevier
Battery degradation cost is one of the major concerns when designing energy management
strategies of DC microgrids. However, many battery degradation models used in the …

Two-stage stochastic optimization for operating a renewable-based microgrid

H Abunima, WH Park, MB Glick, YS Kim - Applied Energy, 2022 - Elsevier
Carbon emissions are increasing as a result of urbanization and population growth all over
the world. Scientists agree that these emissions are one of the main causes of climate …

Optimal dispatch of multiple interconnected-integrated energy systems considering multi-energy interaction and aggregated demand response for multiple …

H Hua, C Du, X Chen, H Kong, K Li, Z Liu, P Naidoo… - Applied Energy, 2024 - Elsevier
This paper investigates the balancing and scheduling of integrated energy systems (IESs)
spanning across geographically adjacent areas and regions that involve multiple energy …

Battery energy storage control using a reinforcement learning approach with cyclic time-dependent Markov process

S Abedi, SW Yoon, S Kwon - International Journal of Electrical Power & …, 2022 - Elsevier
Scheduling efficient energy management system operations to respond to the unstable
customer demand, electricity prices, and weather increases the complexity of the control …

An adaptive droop-based control strategy for fuel cell-battery hybrid energy storage system to support primary frequency in stand-alone microgrids

MH Marzebali, M Mazidi, M Mohiti - Journal of Energy Storage, 2020 - Elsevier
Frequency fluctuations arising from high penetration of renewable energy resources in stand-
alone microgrids (SAMGs) compromise their stable operation. To this end, battery energy …

Real-time schedule of microgrid for maximizing battery energy storage utilization

X Xue, X Ai, J Fang, S Cui, Y Jiang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper proposes a real-time schedule model of a microgrid (MG) for maximizing battery
energy storage (BES) utilization. To this end, a BES life model is linearized using piece-wise …

Challenges and opportunities toward long-life lithium-ion batteries

X Xu, X Han, L Lu, Z Zhang, F Wang, M Yang… - Journal of Power …, 2024 - Elsevier
In the backdrop of the carbon neutrality, lithium-ion batteries are being extensively employed
in electric vehicles (EVs) and energy storage stations (ESSs). Extremely harsh conditions …

Consideration on present and future of battery energy storage system to unlock battery value

J Kim, J Song, CH Kim… - Journal of Modern …, 2024 - ieeexplore.ieee.org
To address environmental concerns, there has been a rapid global surge in integrating
renewable energy sources into power grids. However, this transition poses challenges to …