關於 TCU 功率訓練教室

Our Mission 我們的使命

TCU Power Training Room is a professional cycling analytics platform built by Taiwan Cycling Union. We believe science-based training should not be limited to professional athletes. By integrating Strava activity data with advanced sports science algorithms and artificial intelligence, we deliver actionable training insights to every cyclist — from beginners discovering their first power meter to elite riders chasing podium results.

Our mission is to democratize high-performance cycling analytics. Every watt matters. Every ride tells a story. TCU Power Training Room helps you read that story and use it to become a stronger, smarter rider.

Platform Features 核心功能

PMC Performance Management Chart

Track Chronic Training Load CTL, Acute Training Load ATL, and Stress Balance TSB in real time. The Performance Management Chart visualizes fitness trajectory and fatigue state, helping cyclists plan conditioning cycles, peak for events, and avoid overtraining. Science-backed periodization starts here.

FTP Functional Threshold Power Tracking

FTP is the foundation of watt-based athletic development. The platform tracks Functional Threshold Power FTP trends over time using multiple estimation methods — 20-minute test protocol, 60-minute average output, and critical CP model cross-validation. Automatic zone recalculation ensures all seven exercise zones always reflect current aerobic capacity.

MMP Mean Maximal Power Curve

The Mean Maximal Power MMP curve reveals a complete performance profile across all durations — from 1-second neuromuscular sprint output to 60-minute aerobic capacity. Compare against previous bests, identify weak points in the MMP curve, and direct efforts toward targeted physiological adaptations. Are you a sprinter or a diesel engine? The numbers tell the truth.

AI Intelligent Coaching System

The AI coach analyzes accumulated ride history, current fitness metrics, and stated goals to generate personalized recommendations. Daily summaries, recovery guidance, intensity adjustments, and FTP progression forecasts help athletes ride with purpose. Machine learning continuously improves insights as the dataset grows.

GoldenCheetah Advanced Metrics

Inspired by the open-source GoldenCheetah software, we provide advanced cycling metrics including W prime balance W bal tracking, Critical Power CP three-parameter model fitting, Efficiency Factor EF, Normalized Power NP, Training Stress Score TSS, and Intensity Factor IF. These professional-grade analytics help advanced cyclists decode the physiology behind every ride.

Segment Comparison Tool

Side-by-side comparison of power output, heart rate response, cadence, and speed across multiple efforts on the same segment or route. Quantify progress, identify pacing improvements, and track long-term development on key climbs and time-trial efforts. Data-driven progress tracking made simple.

About TCU 關於 TCU 單車聯盟

TCU — Taiwan Cycling Union — is a community organization dedicated to promoting evidence-based bicycle training. We bring together passionate engineers, coaches, and athletes to build tools and share knowledge that help cyclists achieve better performance in training and competition. Our team combines expertise in sports science, data engineering, and software development to create a platform that is both powerful and approachable.

The platform is open source. We welcome contributions, feedback, and collaboration from the cycling community. Browse our repository to learn more, report issues, or contribute to the project.

Contact Us 聯絡我們

Website: power.criterium.tw

For bug reports, feature requests, and general inquiries, please use our GitHub Issues tracker. For community discussion and cycling questions, visit GitHub Discussions.