Skip To Main Content
Kaiwen Min on Muck Rack

Kaiwen Min

As seen in: Taylor & Francis Online, SHS Web of Conferences
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile
Back to Kaiwen Min’s profile

Articles by Kaiwen Min

Machine learning-driven prediction and optimization of renewable energy integration in multi-regional economic systems: Evidence from China’s carbon markets

|
By Kaiwen Min, Dawei Yan
| Taylor & Francis Online
ABSTRACT China’s commitment to carbon neutrality by 2060 requires precise, regionally differentiated forecasts of renewable energy (RE) penetration and carbon allowance prices to guide investment and policy. This study presents a methodologically rigorous machine learning framework integrating five operational datasets across eight Chinese regional power markets (2019–2023, n = 11,448 training and 2,920 test observations).
Open in Who Shared Issue with article?

Research on the applicability of time series models for bitcoin price prediction: Taking ARIMA and LSTM as examples

|
By Kaiwen Min
| SHS Web of Conferences
SHS Web of Conferences 225, 01010 (2025) Research on the applicability of time series models for bitcoin price prediction: Taking ARIMA and LSTM as examples * XJTU-Polimi Joint School, Xi’an Jiaotong University, 710049 Xi’an, China * Corresponding author: 2786815346@stu.xjtu.edu.cn Abstract This paper takes the prediction of Bitcoin price as the research goal and comparatively analyzes the applicability of two types of time series models, autoregressive integrated moving average model (ARIMA)...
Open in Who Shared Issue with article?
Show More