Apr 29, 2024 · This paper aims to introduce a new statistical learning technique based on sparsity promoting for data-driven modeling and control of solar photovoltaic (PV) ...
This paper aims to introduce a new statistical learning technique based on sparsity promoting for data-driven modeling and control of solar photovoltaic (PV) ...
Oct 3, 2024 · This paper introduces a new statistical learning technique based on sparsity promotion for data-driven modeling and control of solar ...
The paper introduces a novel data-driven modeling framework using adaptive regulated sparse regression (ARSR) for characterizing the dynamics of both single- ...
This paper aims to introduce a new statistical learning technique based on sparsity promoting for data-driven modeling and control of solar photovoltaic (PV) ...
Jul 6, 2024 · In order to detect weak underwater tonals, adaptive line enhancers (ALEs) have been widely applied in passive sonars.
This paper aims to introduce a new statistical learning technique based on sparsity promoting for data-driven modeling and control of solar photovoltaic (PV) ...
Sep 19, 2024 · This study focuses on implementing reinforcement learning (RL) using a Deep Q-Network algorithm to enhance the stability and efficiency of a grid.
Missing: Promoting | Show results with:Promoting
本論文は、太陽光発電システムの動特性を正確にモデル化し、データ駆動型制御を実現するための新しい統計学習手法を提案する。提案手法は、候補関数の重みを適応的に ...
Jan 6, 2021 · Adaptive Regulated Sparsity Promoting Approach for Data-Driven Modeling and Control of Grid-Connected Solar Photovoltaic Generation. 2024 ...