Mingyue Zhang''s research works | University of Electronic Science
To investigate the multi-timescale behaviors and instability mechanisms under dynamic inter-actions for AC MGs, existing coordinated control strategies are discussed, and the dynamic stability of...
Mitigating Climate Risk to China''s Renewable Energy Generation by
Here, we develop three random-forest (RF) response models that accurately capture the nonlinear relationship between renewable energy generation (hydro, solar, and wind power) and climate
Solar and wind power data from the Chinese State Grid
Solar and wind generation data from on-site sources are beneficial for the development of data-driven forecasting models. In this paper, an open dataset consisting of data collected from...
Physical model and long short-term memory-based combined
Therefore, this paper puts forward a PV prediction model combining a physical model and a neural network that can modify solar radiation in complex weather through the neural network
Efficient calculation of distributed photovoltaic power generation
To improve prediction accuracy, we propose a novel model, PerfCNN-LSTM, which combines a convolutional neural network (CNN) and a long short-term memory (LSTM) network with
MINGYUE GUO
Simulate the PV power generation, building energy consumption, and the outdoor environmental in-dexes (wind speed and UTCI) of the parametrically generated BIPV building.
Mingyu Xiao
Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12453 International Conference on Theory and Applications of Models of Computation
Mingyue Zhang | IEEE Xplore Author Details
His research interests include power system operation and control, deep learning, computer technology and applications. Affiliations: [School of Mechanical and Electrical Engineering, University of
How is Mingyue Solar Energy? | NenPower
In addition to enhancing energy production, Mingyue''s inverters are pivotal in solar energy systems as they convert direct current (DC) generated by solar panels into alternating current (AC)
Solar Power Generation Forecast Based on LSTM
This paper uses the LSTM model to predict solar power generation. At the same time, the data is reduced by using PCA to reduce the training duration of the model and improve the...
LFP Battery Storage Systems
High-density LiFePO4 batteries from 10kWh to 1MWh+, with intelligent BMS and remote monitoring – ideal for commercial peak shaving and industrial backup.
Outdoor Cabinets & Single-Phase Inverters
All-in-one outdoor integrated cabinets (IP55) and single-phase hybrid inverters (3kW–12kW) with smart energy management for residential and light commercial.
BESS Containers & Smart EMS
Turnkey 20ft/40ft containerized BESS (up to 5MWh) with liquid cooling, plus cloud-based energy management systems for real-time optimization.
Distributed Storage & PV Integration
Scalable distributed storage solutions, battery cabinets, and PV inverter integration for microgrids, self-consumption, and grid services.