科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
T
Thomas Schreiber
RWTH Aachen University
38
H指数
145
论文数
1.5W
被引数
0
相关解读
订阅
收录论文
12
发表时间
发表时间
IF
被引数
District Energy Management Systems: Key Data Points for System Integration and Related Challenges: Lessons Learned from Experts in Germany
地区能源管理系统: 系统集成的关键数据点和相关挑战: 德国专家的经验教训
ENERGY TECHNOLOGY
IF
3.6
2024-05-16
0
OA
AI
Rehmann, Felix; Cudok, Falk; Schoelzel, Joel; Schreiber, Thomas; Henn, Sarah; Streblow, Rita
分享
收藏
Multi-period design optimization for a 5th generation district heating and cooling network
第5代区域供热和供冷网络的多周期设计优化
ENERGY AND BUILDINGS
IF
7.1
2023-04-01
12
OA
AI
Wirtz, Marco; Heleno, Miguel; Romberg, Hannah; Schreiber, Thomas; Mueller, Dirk
分享
收藏
Evaluation of advanced control strategies for building energy systems
建筑能源系统先进控制策略的评价
ENERGY AND BUILDINGS
IF
7.1
2023-02-01
41
OA
AI
Stoffel, Phillip; Maier, Laura; Kuempel, Alexander; Schreiber, Thomas; Mueller, Dirk
分享
收藏
5th generation district heating and cooling network planning: A Dantzig-Wolfe decomposition approach
第5代区域供热和供冷网络规划: dantzig-wolfe分解方法
ENERGY CONVERSION AND MANAGEMENT
IF
10.9
2023-01-01
13
OA
AI
Wirtz, Marco; Heleno, Miguel; Moreira, Alexandre; Schreiber, Thomas; Mueller, Dirk
分享
收藏
Survey of 53 Fifth-Generation District Heating and Cooling (5GDHC) Networks in Germany
对德国53个第五代区域供热和制冷 (5GDHC) 网络的调查
ENERGY TECHNOLOGY
IF
3.6
2022-09-20
23
PRE
AI
Wirtz, Marco; Schreiber, Thomas; Mueller, Dirk
分享
收藏
Application of data-driven methods for energy system modelling demonstrated on an adaptive cooling supply system
在自适应冷却供应系统上演示的数据驱动方法在能源系统建模中的应用
ENERGY
IF
9.4
2021-09-01
15
PRE
AI
Schreiber, Thomas; Netsch, Christoph; Eschweiler, Soeren; Wang, Tianyuan; Storek, Thomas; Baranski, Marc; Muller, Dirk
分享
收藏
Design optimization of multi-energy systems using mixed-integer linear programming: Which model complexity and level of detail is sufficient?
使用混合整数线性规划的多能源系统的设计优化: 哪个模型的复杂性和细节水平是足够的?
ENERGY CONVERSION AND MANAGEMENT
IF
10.9
2021-07-01
50
PRE
AI
Wirtz, Marco; Hahn, Maria; Schreiber, Thomas; Mueller, Dirk
分享
收藏
Monitoring data-driven Reinforcement Learning controller training: A comparative study of different training strategies for a real-world energy system
监控数据驱动的强化学习控制器训练: 现实世界能源系统不同训练策略的比较研究
ENERGY AND BUILDINGS
IF
7.1
2021-05-01
14
PRE
AI
Schreiber, Thomas; Netsch, Christoph; Baranski, Marc; Mueller, Dirk
分享
收藏
Application of two promising Reinforcement Learning algorithms for load shifting in a cooling supply system
两种有前途的强化学习算法在供冷系统负荷转移中的应用
ENERGY AND BUILDINGS
IF
7.1
2020-12-01
48
PRE
AI
Schreiber, Thomas; Eschweiler, Soeren; Baranski, Marc; Mueller, Dirk
分享
收藏
A time series clustering approach for Building Automation and Control Systems
APPLIED ENERGY
IF
11
2019-03-01
22
PRE
AI
Bode, Gerrit; Schreiber, Thomas; Baranski, Marc; Mueller, Dirk
分享
收藏
High-average-power femtosecond fiber chirped-pulse amplification system
OPTICS LETTERS
IF
3.3
2003-10-15
108
PRE
AI
Limpert, J; Clausnitzer, T; Liem, A; Schreiber, T; Fuchs, HJ; Zellmer, H; Kley, EB; Tünnermann, A
分享
收藏
Reduction of the number of particles in the stochastic weighted particle method for the Boltzmann equation
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
1998-09-01
41
PRE
AI
Rjasanow, S; Schreiber, T; Wagner, W
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
W
Wolfgang Wagner
H 指数: 103 · 论文数: 908
J
Jens Limpert
H 指数: 87 · 论文数: 1.1K
D
Dirk Müller
H 指数: 46 · 论文数: 932
H
H. Zellmer
H 指数: 29 · 论文数: 147
A
A. Liem
H 指数: 25 · 论文数: 127
查看更多