Guizhou
China
Guizhou University
Data center, hybrid energy system, energy scheduling, computation load, multi-energy storage system, stochastic optimization
Convolutional neural networkPartial convolutionAttention mechanismFeature fusion
Urea-electricity-heat-cooling multi-generation system, chemical looping ammonia generation, Haber-Bosch process, energy and exergy analysis, Economic analysis, environmental analysis
Hydrogen-biomass collaborative energy storage, Data center waste heat recovery, Heat Pump Assisted-Organic Rankine Cycle, Energy-exergy-economic-environmental performance
semi-supervised learning, density peak clustering, gas-insulated switchgear, insulation defect diagnosis.
Ammonia-electricity-heat-cooling multi-generation system, Full spectrum solar, energy and exergy analysis, operation strategy, Photovoltaic and photothermal
Data center efficiency, carbon emission flow, carbon and electricity collaborative optimization scheduling, Demand Response, Energy storage.
integrated energy system, renewable consumption, more flexibility, flexible loads, structure expansion planning, enhanced sample average approximation.
Full spectrum solar, Biomass pyrolysis, Operation strategy, Photovoltaic and photothermal
Keywords: distributed energy system, multi-energy coupling, flexibility improvement, Renewable Energy Consumption, carbon capture.
microgrid, grouping of battery unit, distributed model predictive control, weighted consensus algorithm.
Automatic generation control, Multi-Area coordination, Deep reinforcement learning, Imitation learning, Wind-Storage coordination.
Data center, Waste heat recovery, hydrogen, Low Global Warming Potential, Energy-exergy-economic-environmental analysis
Power-to-ammonia, Multi-grade waste heat utilization, Cost of ammonia, Renewable energy fluctuations, Load Flexibility
Janus SnSSe, gas adsorption, Reliability Aware Ensemble Learning, DFT, First Principles
