Results 81 to 90 of about 45,826 (205)

Stock Price Forecasting Accuracy Analysis Using Mean Absolut Deviation (MAD) and Mean Absolute Percentage Error (MAPE) on Smoothing Moving Average and Exponential Moving Average Indicator (Empirical Study 10 LQ 45 Stock with Largest Capitalization From Pe [PDF]

, 2013
Indonesia stock market crash of 2008, in general the majority due to external factors. The recovery of the world economy had a positive impact on economic growth in Indonesia.
Sukarno, Subiakto, Halimawan, Alam Akbar, Sukarno, S. (Subiakto), Halimawan, A. A. (Alam)   +3 more
core  

Analysis of the Effectiveness of ARIMA, SARIMA, and SVR Models in Time Series Forecasting: A Case Study of Wind Farm Energy Production

Energies
The primary objective of this study is to evaluate the accuracy of different forecasting models for monthly wind farm electricity production. This study compares the effectiveness of three forecasting models: Autoregressive Integrated Moving Average ...
Kamil Szostek, Damian Mazur, G. Drałus, Jacek Kusznier   +3 more
semanticscholar   +1 more source

Validation metrics used in incidence forecasts. [PDF]

, 2014
MAE, Mean absolute error; MdAE, Median absolute error; MAPE, Mean absolute percent error; RMSE, Root mean square error.aForecast confidence was defined as “the percentage of forecast values within a predefined difference of the actual data during an ...
Jean-Paul Chretien (274939), F. Ellis McKenzie (16358), Jeffrey Shaman (252813), Rohit A. Chitale (549038), Dylan George (413108)   +4 more
core   +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  

Power consumption prediction for electric vehicle charging stations and forecasting income

Scientific Reports
Electric vehicles (EVs) are the future of the automobile industry, as they produce zero emissions and address environmental and health concerns caused by traditional fuel-poared vehicles. As more people shift towards EVs, the demand for power consumption
K. Akshay, G. Grace, Kanimozhi Gunasekaran, Ravi Samikannu   +3 more
semanticscholar   +1 more source

Forecasting telecommunications data with linear models [PDF]

For telecommunication companies to successfully manage their business, companies rely on mapping future trends and usage patterns. However, the evolution of telecommunications technology and systems in the provision of services renders imperfections in ...
Tan, Joachim, Madden, Gary G
core   +1 more source

Keeping Pace with Wearables: A Living Umbrella Review of Systematic Reviews Evaluating the Accuracy of Consumer Wearable Technologies in Health Measurement

Sports Medicine
Consumer wearable technologies have become ubiquitous, with clinical and non-clinical populations leveraging a variety of devices to quantify various aspects of health and wellness.
C. Doherty, Maximus Baldwin, A. Keogh, Brian Caulfield, Rob Argent   +4 more
semanticscholar   +1 more source

Integrating AI-Driven Deep Learning for Energy-Efficient Smart Buildings in Internet of Thing-based Industry 4.0

Babylonian Journal of Internet of Things
The integration of Industry 4.0 technologies has paved the way for rapid advancements in smart, energy-efficient buildings. This research focuses on optimizing energy consumption in IoT-enabled infrastructures through the application of data-driven ...
M. C. Ghanem, Said A. Salloum
semanticscholar   +1 more source

Perbandingan Metode Double Exponential Smoothing dan Triple Exponential Smoothing Dalam Parameter Tingkat Error Mean Absolute Percentage Error (MAPE) dan Means Absolute Deviation (MAD) [PDF]

, 2019
Teknik peramalan dapat dibedakan menjadi dua jenis yaitu teknik peramlan model kausal dan model timeseries. Pemilihan metode peramalan harus sesuai dengan gerakan/variasi data yang terbentuk agar menghasilkan ramalan yang akurat dan nilai error yang ...
Azhari, Muhamad, Widagdo, Putut Pamilih, krisma, alviani   +2 more
core