Hydrogen power balance. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Photovoltaic forecast. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Heat load forecast. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Flowchart of the proposed approach. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Structure of OCPP. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Flow chart of model solving. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

The carbon capture and emissions. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

The output of the OCPP. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Wind forecast. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Comparison of Scenarios. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Other parameters in the system. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Thermal supply for each thermal supply unit. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

The OCPP-P2G-CHP coupling relationship. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

The provision of energy for carbon capture. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

39-20-6 Integrated Energy System. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Power supply for each power supply unit. by Jingjing Ma (419752)

“…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. …”

Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

“…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

“…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

The source code of LazyAct. by Hongjie Zhang (136127)

“…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

Win rate vs Skip ratios on multi-agents tasks. by Hongjie Zhang (136127)

“…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”