Autonomous driving paper index
A Parameter-Free Autonomous Price-Correction System (APCS) for Day-Ahead Electricity Markets
One-line summary
High-renewable day-ahead electricity markets increasingly produce hours of zero or near-zero clearing prices during solar peaks, distorting investment signals and driving reliance on layered, out-of-market subsidy mechanisms.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
High-renewable day-ahead electricity markets increasingly produce hours of zero or near-zero clearing prices during solar peaks, distorting investment signals and driving reliance on layered, out-of-market subsidy mechanisms. This paper introduces the Autonomous Price-Correction System (APCS), a parameter-free correction layer for day-ahead markets. Unlike parametric or technology-dependent interventions, APCS derives every quantity from each day's own volume-weighted price structure and uses a single fixed constant. It performs a two-sided correction: lifting collapsed low-price hours toward a sustaining floor price, and capping excessive evening peaks with a bounded ceiling. On a 908-day day-ahead dataset from the Turkish market operator (January 2024 – June 2026), APCS detects 157 collapse days with zero external parameters and zero false positives. We describe the framework and its validation at the conceptual level; the complete closed-form specification is withheld and committed cryptographically to establish authorship priority without public disclosure. Keywords: electricity market design; day-ahead price formation; duck curve; zero and negative prices; endogenous regulation; market operator.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments