A5101652687- Power Systems and Renewable Energy
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Geological Modeling and Analysis
- Remote Sensing and Land Use
- Computational Physics and Python Applications
- Integrated Energy Systems Optimization
- Regional Economic and Spatial Analysis
- Machine Learning and ELM
- Landslides and related hazards
- Geomagnetism and Paleomagnetism Studies
- Catalysis and Hydrodesulfurization Studies
- Power System Optimization and Stability
- Geophysics and Gravity Measurements
- Geophysical and Geoelectrical Methods
- Power System Reliability and Maintenance
- Inertial Sensor and Navigation
- Fire effects on ecosystems
- Zeolite Catalysis and Synthesis
- Cryospheric studies and observations
- Soil Moisture and Remote Sensing
China University of Petroleum, Beijing
2023
China Southern Power Grid (China)
2023
Reliance Industries (United States)
2022
China Electric Power Research Institute
2014-2019
North China Electric Power University
2014
Xuchang University
2009-2013
PLA Army Engineering University
2013
Uncertainty quantification measures the prediction uncertainty of a neural network facing out-of-training-distribution samples. Bayesian Neural Networks (BNNs) can provide high-quality by introducing specific noise to weights during inference. To accelerate BNN inference, ReRAM processing-in-memory (PIM) architecture is competitive solution both high-efficient computing and in-situ generation at same time. However, there normally exists huge gap between generated in PIM hardware that...
This paper studies the construction of European Union's transnational electricity market and mechanism renewable energy power generation. systematically summarizes typical Union countries', such as Britain, Denmark, Spain, structure, policy, trading mechanism, current situation under international supervision system. The research this lays a foundation for clean transmission rationalization intercontinental provides basis transcontinental transaction mechanism.
With ever increasing large-scale grid-connected photovoltaic (PV) power plants, there is an urgent need for accurate PV plant model to study the impact of generation integration. In this paper, inverter bulk system studies investigated based on comprehensive tests. At first, introduced. The consists local controller module, fault ride through and protective grid interface module. Then a real 500kW adopted two series test. These tests include voltage disturbance test control command identify...
<p indent="0mm">Refining and chemical industries in China are facing a significant challenge adjusting their product structure to meet carbon peaking neutrality goals. One particular lies the production of low olefin, which requires use straight-run diesel as an optimal feed for cracking process. However, presence coking, caused by 20 wt% aromatics content diesel, has hindered cycle yield target products. Efficiently separating is therefore crucial overcoming this challenge. To address...
Capacity of grid connected photovoltaic (PV) power has increased significantly over the recent years in China, a significant number large-scale PV plants have been put into operation, such as Golmud (300MW) and Long-yang Gorge (320MW) Qinghai province. These are always geographically far from load centers to relatively weak transmission networks. Whether these large will an impact on oscillation modes system? If yes, what is impact? They all still open questions worthy further investigation....
Based on the existing research basis of expansion to quality economic growth, optimizing structure and development potential for characteristics city develop connotation competition ability, then constructs evaluation index system competitiveness. In order avoid a model results caused by biased, based entropy weight TOPSIS factor analysis competitiveness measure respectively, two sequencing cluster analysis. The show that kinds methods in have consistency, but also shows conclusions science...
With the development of clean energy, penetration renewable energy has increased difficulty regulation power grid. Flexible resource support services provide a feasible means to solve this problem. Considering multiple flexible resources such as generators, electric vehicles, storage and so on, aiming at minimizing economic cost system, paper proposes method that clearing together, constructs real-time market ramping products (FRP) model with participation various aggregators(VA). Finally,...
This paper presents a hybrid computing-in-memory architecture for inference and training stages of two-layer deep neural network, with 96 Kb RRAM 4Kb 7T SRAM. Combining merits SRAM, the provides fast weight-updating training, while achieves 997x lower standby power consumption 1.35x higher area efficiency than SRAM-only scheme. A classification accuracy 91% is obtained resized MNIST task.
Critical equipments mainly maintain critical production processes in the system, deciding cycle and product quality directly, always bottleneck of system. So we should set up a certain buffer to make work continually avoid output loss whole system even if pre-processing is interrupted. This article takes popular multi-models as research object, concerning features setting mathematical models solve optimal time buffer. Besides structural, this paper researches parameters series parallel...