Results 71 to 80 of about 42,250 (218)

Penerapan Metode Fuzzy Time Series Berbasis Algoritma Novel Dalam Memprediksi Indeks Harga Konsumen Di Provinsi Lampung

Titian Ilmu: Jurnal Ilmiah Multi Sciences
Indeks Harga Konsumen (IHK) menjadi indikator ekonomi yang digunakan sebagai standar untuk mengukur nilai dari rata-rata perubahan harga barang dan jasa yaitu berupa inflasi dan deflasi di tingkat konsumen.
Ahmad Muhaimin, Reni Permata Sari, Ma’rufah Hayati   +2 more
doaj   +1 more source

Prediction of Pipeline Defect Depth and Classification Based on CatBoost

Energy Science &Engineering, EarlyView.
Obtaining detection data using in‐line pipeline inspection, the synthetic minority oversampling technique (SMOTE) is applied to expand the sample set, thereby increasing the number of minority‐class samples. This approach effectively improves minority‐class detection and enhances pipeline safety assessment. ABSTRACT Magnetic flux leakage detection is a
Cong Chen, Rui Li, Guanwei Jia, Dongcun Qin   +3 more
wiley   +1 more source

Prediksi Ketinggian Gelombang Laut Menggunakan Algoritma Levenberg-Marquardt [PDF]

, 2016
Gelombang laut adalah merupakan fenomena alam di mana terjadi penaikan dan penurunan air secara periodik, penaikan dan penurunan air ini salah satu aspek penting dalam transportasi dan pembangunan. Mengetahui data masa depan mengenai tinggi gelombang air
Nikentari, N. (Nerfita)
core   +2 more sources

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

Medium-Term Load Forecasting Of Covenant University Using The Regression Analysis Methods [PDF]

, 2014
Electric load forecasting is principal to the economic and efficient provision of electric power to meet various load demands for a specified period of time. The focus of this paper is on the medium-term load forecast of Covenant University, a Nigerian
Adewale, Adeyinka A., Awelewa, A. A., Chihurumanya, Felly-Njoku, Samuel, I. A.   +3 more
core   +2 more sources

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, EarlyView.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations

Frontiers in Earth Science
The soil’s shear strength is an important parameter that is used frequently throughout the design phase of construction. The conventional method of calculating shear strength in a laboratory is more expensive and time-consuming.
Mahmood Ahmad, Mahmood Ahmad, Mohammad Al Zubi, Hamad Almujibah, Mohanad Muayad Sabri Sabri, Jawad Bashir Mustafvi, Shay Haq, Tariq Ouahbi, Abdullah Alzlfawi   +8 more
doaj   +1 more source

A Comparison of Forecasting Method of Number of Customer Accounts that use the Service Internet Banking using Box-Jenkins Method and Holt’s method [PDF]

Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2019
The purpose of this research was to study and compare the forecasting methods for number of customer accounts that use the service internet banking by using Box-Jenkins method and Holt’s method.
Kanya Bowornchockchai
doaj  

Forecasting airport passenger traffic: the case of Hong Kong International Airport [PDF]

, 2011
Hong Kong International Airport is one of the main gateways to Mainland China and the major aviation hub in Asia. An accurate airport traffic demand forecast allows for short and long-term planning and decision making regarding airport facilities and ...
Balli, Hatice Ozer, Gower, Hamish, Tsui, Wai Hong Kan   +2 more
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