1 Insights into Scaling Virtual Power Plants Real-World Findings for Successful Deployment January 2025 Angela Long (Rockcress Consulting) Ryan Long (Rockcress Consulting) Methods 49 Appendix B. Interview Guide 52 Appendix C. DERMS Glossary 55 Appendix D. Interview Findings Catalog 56 Prepared By Angela Long, Rockcress Consulting (Rockcress) Ryan Long, Rockcress Stacy Miller, U.S. DOE Tolu Omotoso, NRECA Tomas Smith, Puget Sound Energy 5 5 REAL-WORLD FINDINGS FOR SUCCESSFUL DEPLOYMENT Insights into Scaling Virtual Power Plants Executive Summary Introduction

potential for misinterpretation of validation efforts and the dissemination of sensitive evaluation findings. Ensure Adequate and Appropriate Access to Models and Evaluation Tools The “Needs and Priorities transparency in our research engagements through our commitment to the open publication of our research findings and recommendations, disclosure of the source of funding of published research, and policies

credibility and reliability to the energy-efficiency program. External assurance not only validates the findings but also enhances the defensibility and scalability of the energy savings across the supply chain M&V methodology employed, and the confirmed energy savings. To ensure the reliability of these findings, the results were subsequently reviewed by another third-party verifier, with all parties — including

location of rib fractures/ 基于 CT 的肋骨骨折检出及定位 • Chest X-ray Localization and characterization of findings on upright chest posterior anterior images/ 基于 X-ray 的胸部疾病（占位性病变、 实变、肺不张、胸腔积液、气胸）定位及分析 • Chest

exacerbate adverse selection. I want you to tell how to frame my findings and identify the research gap 5 作为参谋的 AI 40 that my findings might fill in. 5.4 研究反馈与改进 人工智能在学术反馈中展现出独特价值，为研究者提供全面、客观且高效的评估。相比传统反馈方式，AI

educational practices. The authors propose a research agenda to address these challenges.  Key Findings from the Literature: o AI has the potential to significantly enhance personalized learning experiences