Results 31 to 40 of about 980,436 (340)

Multiple Load Forecasting of Integrated Energy System Based on Sequential-Parallel Hybrid Ensemble Learning

Energies, 2023
Accurate multivariate load forecasting plays an important role in the planning management and safe operation of integrated energy systems. In order to simultaneously reduce the prediction bias and variance, a hybrid ensemble learning method for load ...
Wenxia You, Daopeng Guo, Yonghua Wu, Wenwu Li   +3 more
doaj   +1 more source

Prediction Method of Beijing Electric-Energy Substitution Potential Based on a Grid-Search Support Vector Machine

Energies, 2022
Recently, “power cuts” and “coal price surges” have been significant concerns of individuals and societies. The main reasons for a power cut are a recent rapid increase in power consumption, shortage of thermal coal or the large shutdown capacity of ...
Yuanying Chi, Yangyi Zhang, Guozheng Li, Yongke Yuan   +3 more
doaj   +1 more source

Optimal design of single-tuned passive filters using response surface methodology [PDF]

, 2015
This paper presents an approach based on Response Surface Methodology (RSM) to find the optimal parameters of the single-tuned passive filters for harmonic mitigation.
Abdel Aleem, SHE, Balci, ME, Karaoglan, AD, Sakar, S, Zobaa, AF   +4 more
core   +1 more source

Optimizing Machine Learning Models for Urban Sciences: A Comparative Analysis of Hyperparameter Tuning Methods

Urban Science
Advancing urban scholarship and addressing pressing challenges such as gentrification, housing affordability, and urban sprawl require robust predictive models.
Tris Kee, Winky K.O. Ho
doaj   +1 more source

The Signal Data Explorer: A high performance Grid based signal search tool for use in distributed diagnostic applications [PDF]

, 2006
We describe a high performance Grid based signal search tool for distributed diagnostic applications developed in conjunction with Rolls-Royce plc for civil aero engine condition monitoring applications.
Austin, Jim, Fletcher, Martyn, Jackson, Tom, Jessop, Mark, Liang, Bojian   +4 more
core   +1 more source

Computation of the optimal relative pose between overlapping grid maps through discrepancy minimization [PDF]

, 2010
Grid maps are a common environment representation in mobile robotics. Many Simultaneous Localization and Mapping (SLAM) solutions divide the global map into submaps, forming some kind of graph or tree to represent the structure of the environment, while ...
Hernando Gutiérrez, Miguel, Puente Yusty, Paloma de la, Rodríguez-Losada González, Diego, San Segundo Carrillo, Pablo, Valero, Alberto   +4 more
core   +2 more sources

Augmenting the 6-3-5 method with design information [PDF]

, 2012
This paper describes a comparative study between the 6-3-5 Method and the ICR Grid. The ICR Grid is an evolved variant of 6-3-5 intended to better integrate information into the concept generation process.
A Osborn, AJ Wodehouse, Andrew Wodehouse, B Rohrbach, G Goldschmidt, G Pahl, H Hellfritz, HP Casakin, JJ Shah, JJ Shah, JS Gero, M Asimow, M French, N Cross, O Eris, P Demian, PA Rodgers, RI Sutton, S Kulkarni, S Pugh, SK Sim, T Kelley, WG Vincenti, William Ion, Y Chuang   +24 more
core   +1 more source

Distributed Searching of Partial Grids

, 2016
We consider the following distributed pursuit-evasion problem. A team of mobile agents called searchers starts at an arbitrary node of an unknown $n$-node network. Their goal is to execute a search strategy that guarantees capturing a fast and invisible intruder regardless of its movements using as few agents as possible.
Dereniowski, Dariusz, Urbańska, Dorota
openaire   +2 more sources

Optimizing Decision Tree and Random Forest with Grid Search and SMOTE for Malware Classification on IoT Network Traffic

Journal of Applied Informatics and Computing
The rapid growth of the Internet of Things (IoT) has increased the risk of malware attacks, posing serious threats especially to micro, small, and medium enterprises (MSMEs) that often lack sufficient cybersecurity resources.
Muhammad Nurus Siroj, Akhmad Khanif Zyen, Gentur Wahyu Nyipto Wibowo   +2 more
doaj   +1 more source

Optimization and Validation of Two Machine Learning Algorithms for Accurate Prediction of Irrigated Wheat (Triticum aestivum L.) Yield and Identification of its Influential Factors in Khorasan Razavi Province [PDF]

پژوهشهای زراعی ایران
IntroductionThis study undertook a detailed comparison of two supervised machine-learning algorithms—Random Forest (RF) and eXtreme Gradient Boosting (XGBoost)—to predict irrigated wheat (Triticum aestivum L.) yield across 20 counties in Razavi Khorasan ...
M Jahan
doaj   +1 more source