Run-time parameter selection and tuning for energy optimization algorithms

被引：0
|
作者：
Mauser, Ingo [1 ]
Dorscheid, Marita [2 ]
Schmeck, Hartmut [2 ]
机构：
[1] FZI Research Center for Information Technology, Karlsruhe,76131, Germany
[2] Karlsruhe Institute of Technology – Institute AIFB, Karlsruhe,76128, Germany
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8672卷
关键词：
Risk perception - Energy management systems - Evolutionary algorithms - Parameter estimation;
D O I：
10.1007/978-3-319-10762-2_8
中图分类号：
学科分类号：
摘要：
Energy Management Systems (EMS) promise a great potential to enable the sustainable and efficient integration of distributed energy generation from renewable sources by optimization of energy flows. In this paper, we present a run-time selection and meta-evolutionary parameter tuning component for optimization algorithms in EMS and an approach for the distributed application of this component. These have been applied to an existing EMS, which uses an Evolutionary Algorithm. Evaluations of the component in realistic scenarios showreduced run-timeswith similar or even improved solution quality, while the distributed application reduces the risk of over-confidence and over-tuning. © Springer International Publishing Switzerland 2014.
引用
收藏
页码：80 / 89
相关论文
共 50 条
  • [21] A portable approach to dynamic optimization in run-time specialization
    Masuhara, H
    Yonezawa, A
    NEW GENERATION COMPUTING, 2002, 20 (01) : 101 - 124
  • [22] Run-time optimization using dynamic performance prediction
    Alkindi, AM
    Kerbyson, DJ
    Papaefstathiou, E
    Nudd, GR
    HIGH PERFORMANCE COMPUTING AND NETWORKING, PROCEEDINGS, 2000, 1823 : 280 - 289
  • [23] Run-time Energy and Time Management for Intermittent LoRaWAN Communications
    Mileiko, Sergey
    Ritom, Firdaus
    Shafik, Rishad
    Yakovlev, Alex
    Al-Akaidi, Mohammed A.
    2024 IEEE SENSORS APPLICATIONS SYMPOSIUM, SAS 2024, 2024,
  • [24] Interprocedural Compiler Optimization for Partial Run-Time Reconfiguration
    Elena Moscu Panainte
    Koen Bertels
    Stamatis Vassiliadis
    Journal of VLSI signal processing systems for signal, image and video technology, 2006, 43 : 161 - 172
  • [25] On the run-time behaviour of stochastic local search algorithms for SAT
    Hoos, HH
    SIXTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-99)/ELEVENTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (IAAI-99), 1999, : 661 - 666
  • [26] On the run-time behaviour of stochastic local search algorithms for SAT
    Hoos, Holger H.
    Proceedings of the National Conference on Artificial Intelligence, 1999, : 661 - 666
  • [27] Interprocedural compiler optimization for partial run-time reconfiguration
    Panainte, Elena Moscu
    Bertels, Koen
    Vassiliadis, Stamatis
    JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2006, 43 (2-3): : 161 - 172
  • [28] Run-Time Adaptation of Mobile Applications using Genetic Algorithms
    Pascual, Gustavo G.
    Pinto, Monica
    Fuentes, Lidia
    PROCEEDINGS OF THE 8TH INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS (SEAMS 2013), 2013, : 73 - 82
  • [29] A portable approach to dynamic optimization in run-time specialization
    Hidehiko Masuhara
    Akinori Yonezawa
    New Generation Computing, 2002, 20 : 101 - 124
  • [30] Run-Time Reference Clustering for cache performance optimization
    Kaplow, WK
    Szymanski, BK
    Tannenbaum, P
    Viktor, K
    SECOND AIZU INTERNATIONAL SYMPOSIUM ON PARALLEL ALGORITHMS/ARCHITECTURE SYNTHESIS, PROCEEDINGS, 1997, : 42 - 49
12345