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AI-driven multi-algorithm optimization for enhanced building energy benchmarking

JOURNAL OF BUILDING ENGINEERING 2025年 105卷

作者： Guo, Bingtong Li, Tian Yu, Huawei Loftness, Vivian Carnegie Mellon Univ Sch Architecture Pittsburgh PA 15213 USA Univ Nebraska Lincoln Coll Architecture Architecture Program Lincoln NE 68588 USA

The building sector accounts for 39.7% of global energy consumption and 42% of carbon emissions, highlighting the need for improved energy efficiency. While data-driven energy benchmarking is vital for conservation, current approaches face key challenges: limited datasets, suboptimal prediction algorithms, and inadequate scoring systems. This study proposes an AI-driven benchmarking framework using a dataset from 13 U.S. cities across nine climate zones. 12 state-of-the-art algorithms are evaluated for energy prediction accuracy across building types and climates. Based on the evaluations, a Multi-algorithm Prediction (MAP) framework is introduced, which dynamically selects the most suitable model for energy prediction according to specific building types and climate zones. Moreover, to enhance the scoring system, this study refines peer-grouping by applying K-Means clustering using essential building attributes. It implements a dual-factor scoring system balancing both site and source energy performance. Results show that algorithm performance varies significantly by building type and climate zone. Using MAP for energy prediction can achieve 9.33-63.27% greater accuracy compared to single-model predictions. The modified scoring results are sensitive to the value of the balancing factor, particularly for buildings with mid-range performance. A balancing factor of 0.5 yields statistically balanced outcomes. This study enhances the reliability and effectiveness of building benchmarking by (1) improving energy prediction through MAP based on a comprehensive dataset, (2) enhancing peer-group reliability, and (3) offering insights into the impacts of integrating site and source energy performance in scoring.

关键词： AI-driven Building energy benchmarking Machine learning Carbon emissions algorithm optimization Big data

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algorithm optimization USING A RULE-BASED SYSTEM - A CASE-STUDY - THE DIRECT KINEMATIC SOLUTION IN ROBOTICS

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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 1993年第3期8卷 309-324页

作者： AZARIA, H DVIR, A 1. Department of Electrical and Computer Engineering Ben-Gurion University of the Negev Beer-Sheva Israel

The computation burden of intensive numerical real-time algorithms is a problem encountered in robotics and many other fields. A cost-effective solution for the implementation of these algorithms requires knowledge of computer architecture, compiler technology and algorithms. A cost-effective numeric processing methodology using a combined hardware-software approach and taking advantage of logic programming tools is presented. The methodology is based on optimizing the numerical calculation process of the algorithm. It also enables the specification of hardware resources. The process uses a rule-based-system (RBS) implemented in the logic programming language Prolog to automatically reduce the number of operations in the numerical execution of the algorithm and optimizes the use of hardware resources. The methodology provides a solution for the problems of handshake overhead and algorithm translation efficiency. The Direct Kinematics Solution (DKS), a robot arm control algorithm, is presented as a case study to illustrate the methodology. The proposed methodology has a general potential which can be extended to the optimization or implementation of different algorithms.

关键词： algorithm optimization RULE-BASED SYSTEM ROBOTICS ROBOT ARM CONTROL LOGIC PROGRAMMING

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algorithm optimization of Kalman Filtering in the Tactical Air Navigation System 10

Algorithm Optimization of Kalman Filtering in the Tactical A...

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10th International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Ding, Yuzhong Jin, Long Univ Elect Sci & Technol China Inst Elect Sci & Technol Chengdu Sichuan Peoples R China

ISBN: (纸本)9781538693896

The Tactical Air Navigation (TACAN) system is an effective tool for airborne navigation. Kalman filtering can accurately extract the envelope signal in the modulation signal of the TACAN system, and it requires few hardware resources. This paper proposes an optimized Kalman filtering process and applies it to the TACAN system, improving the computing efficiency and guaranteeing system stability.

关键词： TACAN Kalman filter algorithm optimization

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algorithm optimization for Quantitative Analysis of Intravascular Optical Coherence Tomography Data

Algorithm Optimization for Quantitative Analysis of Intravas...

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Conference on Photonic Therapeutics and Diagnostics V

作者： van Soest, Gijs Goderie, Thade P. M. van Noorden, Sander van der Steen, Anton F. W. Erasmus MC Ctr Thorax NL-3000 CA Rotterdam Netherlands

ISBN: (纸本)9780819474070

Optical Coherence Tomography (OCT) is rapidly becoming the method of choice for assessing arterial wall pathology in vivo. Atherosclerotic plaques can be diagnosed with high accuracy, including measurement of the thickness of fibrous caps, permitting an assessment of the risk of rupture. While the OCT image presents morphological information in highly resolved detail, it relies on interpretation of the images by trained readers for the identification of vessel wall components and tissue type. We developed a framework to aid the recognition of these atherosclerotic plaque constituents, based on the optical attenuation coefficient of the tissue. Based on a single-scattering model and using the point spread functions of individually characterized imaging catheters, several parameters need to be set in the analysis that may influence the results. Here, we present a simulation study used to optimize these parameters.

关键词： OCT atherosclerosis optical attenuation simulation algorithm optimization

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COMPARING ELECTRICALLY SMALL FOLDED CONICAL AND SPHERICAL HELIX ANTENNAS BASED ON A GENETIC algorithm optimization

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2009年第11-12期23卷 1585-1593页

作者： Lim, S. Ling, H. Univ Hawaii Manoa Coll Engn Hawaii Ctr Adv Commun Honolulu HI 96822 USA Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA

A genetic algorithm (GA) is used as a search tool to determine the optimal geometry for maximizing bandwidth or efficiency in electrically small, volumetric antenna structures. Folded shaped helix structures, including the folded conical helix and the folded spherical helix, are placed in the same population and optimized using GA. A dense-top, spherical helix-like structure is chosen for its optimal performance.

关键词： PERTURBATION ARRANGEMENT DEGENERATE MODES DESIGN Genetic algorithm (GA) Helix of ear algorithm optimization Sphericity Conical helix optimum performance Search engines Gallium

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An algorithm optimization Method for Time-interval Measurement with Linear Optical Sampling

An Algorithm Optimization Method for Time-interval Measureme...

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2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium

作者： Lu, Ganbin Chen, Ziyang Yu, Dongrui Li, Xinbo Luo, Bin Guo, Hong Beijing Univ Posts & Telecommun State Key Lab Informat Photon & Opt Commun Beijing 100876 Peoples R China Peking Univ Sch Elect State Key Lab Adv Opt Commun Syst & Networks Beijing 100871 Peoples R China Peking Univ Ctr Quantum Informat Technol Beijing 100871 Peoples R China

ISBN: (纸本)9798350371918;9798350371901

The precise time interval measurement is the key in many applications. Recent-developed linear optical sampling method has pushed the time interval measurement to the femtosecond region. However, technique noise limits the precision improvements. To further optimize the precision of the time interval measurement scheme based on linear optical sampling, here we give an algorithm method to optimize the effective low-noise region of waveform and achieve the measurement stability of 22.9 fs.

关键词： time interval measurement linear optical sampling algorithm optimization

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On Semantic Search algorithm optimization

On Semantic Search Algorithm Optimization

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World Conference on Information Systems and Technologies (WorldCIST)

作者： Gusenkov, Alexander Bukharaev, Naille Kazan Fed Univ Kazan Russia

ISBN: (纸本)9783030161804;9783030161811

In the article we consider, on the example of development of a relational database (RDB) information system for Tatneft oil and gas company, an approach to organization of effective search in large arrays of heterogeneous data, satisfying the following essential requirements. On the one hand, the data is integrated at the semantic level, i.e. the system supports the presentation of data, describing its semantic properties within an unified subject domain ontology. Accordingly, end user's request are formulated exclusively in the subject domain terminology. On the other hand, the system generates unregulated SQL-queries, i.e. the full text of possible SQL-queries, not just values of particular parameters, predefined by the system developers. Considered approach includes both the possibilities of increasing the reactivity of the universal SQL queries generation scheme as well as more specific optimization possibilities, arising from the particular system usage context.

关键词： Semantic search Intellectual search Ontology algorithm optimization

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Handling of annoying variations of performances in video algorithm optimization - art. no. 60570T

Handling of annoying variations of performances in video alg...

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Conference on Human Vision and Electronic Imaging XI

作者： Nicolas, Marina M. STMicroelect F-38019 Grenoble France

ISBN: (纸本)0819460974

Evaluation and optimization, with an ever increasing variety of material, are getting more and more time-consuming tasks in video algorithm development. An additional difficulty in moving video is that frame-by-frame perceived performance can significantly differ from real-time perceived performance. This paper proposes a way to handle this difficulty in a more systematic and objective way than with usual long tuning procedures. We take the example of interpolation algorithms where variations of sharpness or contrast look annoying in real-time whereas the frame-by-frame performance looks well acceptable. These variations are analyzed to get an objective measure for the real-time annoyance. We show that the reason for the problem is that most interpolation algorithms are optimized across intraframe criteria ignoring that the achievable intrinsic performance may vary from frame to frame. Our method is thus based on interframe optimization taking into account the measured annoyance. The optimization criteria are steered frame by frame depending on the achievable performance of the current interpolation and the achieved performance in previous frames. Our policy can be described as "better be good all time than very good from time to time". The advantage is that it is automatically controlled by the compromise wished in the given application.

关键词： algorithm optimization interpolation motion compensation loss of sharpness judder real time annoyance

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Interpolating algorithm optimization and FPGA Implementation in Image Scaling Engine

Interpolating Algorithm Optimization and FPGA Implementation...

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International Conference on Electronic Packaging Technology and High Density Packaging

作者： Ran Feng Liu Jing Xu Meihua Shanghai Univ Microelect Res & Dev Ctr Campus POB 110149 Yanchang Rd Shanghai 200072 Peoples R China Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China

ISBN: (纸本)9781424427390

Bi-cubic interpolation algorithm is commonly used in image scaling, but traditional cubic interpolation has its own shortcomings such as complicated computation, long computational time and so on. For these problems, the paper studies traditional cubic kernel function and proposes an optimized algorithm with adjustable coefficients. This algorithm utilizes an modifying coefficient lambda to amend the coefficients in the kernel function, which helps the scaling system choose best algorithm with different images. Then, the superiority is verified by MATLAB simulation and the optimized algorithm is applied to the image scaling engine called scaler through the verification in FPGA.

关键词： algorithm optimization optimization algorithms KERNEL FUNCTIONS Field programmable gate arrays Scale formation Interpolation Interpolation Arithmetic images Dental Scaling Scaling Engines Imagery (Psychotherapy) Image image scale

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Use of Multi-Objective Evolutionary algorithm optimization for Low Impact Development Placement

Use of Multi-Objective Evolutionary Algorithm Optimization f...

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International Low Impact Development Conference (LID)

作者： Giacomoni, Marcio H. Univ Texas San Antonio Dept Civil & Environm Engn One UTSA Circle San Antonio TX 78249 USA

ISBN: (数字)9780784479025

ISBN: (纸本)9780784479025

The transformation of natural land cover to urban areas severely alters the hydrologic flow regime of watersheds. The negative impacts include the increase of surface runoff and decrease of infiltration rates, which can result in more frequent and intense flood events and the reduction of groundwater recharge. Low Impact Developments (LIDs) are strategies designed to better mimic the natural flow regime by promoting higher infiltration and the treatment of stormwater. Examples of LID structures are bio-gardens, green roofs, bio-swales and pervious pavements. While the expansion of LIDs in urban catchments would be desirable, retrofitting large urban watersheds with LIDs can be cost prohibitive. This study combines hydrologic simulation with a Multi-Objective Evolutionary algorithm (MOEA) to find solutions in terms of LID design and location in urban catchments that maximize the environmental benefits and characterize the tradeoffs between LID performance indicators and costs. The solutions are evaluated in terms of costs, peak flow, and the Hydrologic Footprint Residence (HFR). The HFR is a new metric designed to quantify the impacts of urbanization in the hydrologic regime by representing the dynamics of inundated areas and residence time of flood waves. The results provide a basis for better stormwater management and planning because tradeoff curves provide a wider spectrum of designs and placement guidelines, improving the sustainability of urban watersheds.

关键词： flow regime Urban watersheds Hydrological regime multi-objective evolutionary algorithm low impact algorithm optimization land cover tradeoffs HFR REACTOR

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