[HTML][HTML] A comprehensive survey on load forecasting hybrid models: Navigating the Futuristic demand response patterns through experts and intelligent systems

K Fida, U Abbasi, M Adnan, S Iqbal… - Results in Engineering, 2024 - Elsevier
Load forecasting is a crucial task, which is carried out by utility companies for sake of power
grids' successful planning, optimized operation and control, enhanced performance, and …

Statistical models for predicting swine f1u incidences in India

N Sultana, N Sharma - 2018 First international conference on …, 2018 - ieeexplore.ieee.org
Swine flu, a respiratory disease caused by influenza viruses also NIHI virus, infects pig's
respiratory tract which results in a barking cough, decrease in appetite, secretions of nasal …

Enhancing Sales Forecasting Accuracy Through Optimized Holt-Winters Exponential Smoothing with Modified Improved Particle Swarm Optimization

IPS Handika, IKS Satwika - Jurnal Nasional Pendidikan …, 2023 - ejournal.undiksha.ac.id
Abstract The Holt-Winters Exponential Smoothing method utilizes three smoothing
parameters, namely alpha (α), beta (β), and gamma (γ), which have a significant impact on …

Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis

H Zhang, Z Wang, S Zhang, L Qiu, Y Wang… - Journal of Intelligent …, 2024 - Springer
Current equipment fault diagnosis faces challenges due to the difficulties in arranging
sensors to collect effective data and obtaining diverse fault data for studying fault …

[PDF][PDF] Sistem Prediksi Tingkat Kriminalitas Menggunakan Metode Triple Exponential Smoothing: Studi Kasus Pada Polres Kabupaten Probolinggo

ADW Sumari, RYA Pratama… - Jurnal Teknik …, 2020 - researchgate.net
Kriminalitas merupakan segala bentuk tindakan dan perbuatan melanggar hukum serta
norma-norma sosial dan agama yang merugikan baik secara ekonomis dan psikologis …

Perbandingan Metode Double Exponential Smoothing dan Least Square untuk Sistem Prediksi Hasil Produksi Teh

MB Nurkahfi, V Wahanggara… - BIOS: Jurnal Teknologi …, 2020 - bios.sinergis.org
Muhammad Bagus Nurkahfi1, Victor Wahanggara2, Bakhtiyar Hadi Prakoso3 1, 2Jurusan
Teknik Informatika, Universitas Muhammadiyah Jember 3Jurusan Kesehatan, Politeknik …

Deep multi-task learning model for time series prediction in wireless communication

K Cao, T Hu, Z Li, G Zhao, X Qian - Physical Communication, 2021 - Elsevier
Making phone calls, sending messages and surfing the Internet all depend on wireless
communication. Too many users connect to a same base station at the same time, which …

Forecasting of covid-19 cases in jakarta using poisson autoregression

BI Nasution, Y Nugraha, JI Kanggrawan… - … on information and …, 2021 - ieeexplore.ieee.org
COVID-19 is currently become a global problem, including in Jakarta, Indonesia. There have
been many approaches to predict COVID-19 occurrence, including the forecasting …

Fuzzy Logic and Exponential Smoothing for Mapping Implementation of Dengue Haemorrhagic Fever in Surabaya

MR Mufid, NRKS Putri, A Fariza - … Electronics Symposium on …, 2018 - ieeexplore.ieee.org
One of the infectious diseases found in Surabaya is Dengue Hemorrhagic Fever (DHF).
Although prevention has been carried out by the government, there are still obstacles to …

Time Series Analysis of Electricity Demand Forecasting Using Seasonal ARIMA and an Exponential Smoothing Model

RK Shiwakoti, C Charoenlarpnopparut… - … on Power and …, 2023 - ieeexplore.ieee.org
Foresting demand for electrical power is essential for energy sector because it promotes
efficient use of resources, a steady electricity supply, and grid stability. Effective electricity …