Path Catalog
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ALLPATHFoundationALLPATHFoundationPath Catalog
正在从 AllPath API 加载 Path Catalog…
Path Catalog
列表数据实时取自 GET /api/v1/paths，仅包含存在已发布版本的 Path。
共 7800 条 Path · 第 202 / 780 页
This learning path equips undergraduate engineering students with the skills to analyze carbon footprints of energy systems. It covers greenhouse gas accounting, life cycle assessment, and decarbonization strategies, building from basic environmental science to intermediate-level application.
This learning path equips graduate students and researchers with the knowledge to analyze energy systems for islands and remote areas. It covers isolated grid characteristics, renewable integration, storage, diesel displacement, and cost optimization, emphasizing practical modeling and decision-making.
This learning path equips undergraduate engineering students with the analytical skills to evaluate energy systems in transportation. It covers foundational energy concepts, transportation energy demand, fuel supply pathways, electric vehicle infrastructure, alternative fuels, and energy efficiency, culminating in a comparative analysis framework.
This path equips undergraduate engineering students with the knowledge to analyze energy use in industrial systems, focusing on industrial processes, cogeneration, waste heat recovery, and efficiency improvement. It covers foundational thermodynamics and energy auditing, then applies these to specific industrial components and systems, culminating in integrated efficiency analysis.
This learning path equips undergraduate engineering students with the knowledge and skills to analyze energy systems in urban environments. It covers urban energy demand, building energy, transport, district systems, and city planning, providing a foundation for careers in sustainable urban energy.
This learning path equips undergraduate engineering students with the knowledge and skills to plan regional energy systems. It covers foundational energy concepts, regional resource assessment, demand analysis, infrastructure planning, and stakeholder engagement, culminating in a practical capstone project.
This learning path equips undergraduate engineering students with the skills to analyze a national energy system. It covers energy balance, supply-demand dynamics, policy frameworks, and scenario analysis, building from foundational concepts to integrated analysis.
A comprehensive graduate-level learning path that guides learners from foundational concepts in complex systems and agent-based modeling through the design, implementation, and validation of ABMs applied to energy systems. The path emphasizes agent behaviors, decision rules, emergent behavior, and rigorous validation, culminating in a capstone project.
This learning path equips graduate students and researchers with the knowledge and skills to apply data science methods to energy system analysis. It covers the full pipeline from data acquisition and preprocessing to advanced machine learning for forecasting and anomaly detection, with a strong emphasis on practical application and visualization.
This graduate-level learning path equips learners with the knowledge and skills to model, analyze, and assess the robustness and vulnerability of energy infrastructure systems using network theory. It covers foundational graph theory, network topology metrics, complex network models, power flow analysis, cascading failure mechanisms, and quantitative methods for robustness and vulnerability assessment, culminating in simulation-based applications.