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Forecasting Models
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38 documents available in our comprehensive collection of Forecasting Models resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Drought Forecasting Models (2018022828.pdf)
799 KBEN 9 pages
Drought is predicted using neuro-fuzzy adaptive inference systems (ANFIS), artificial neural network of multilayered perceptron (ANN-MLP), and support vector...
Article (PDF, 868 KB) (piahs-368-192-2015.pdf)
868 KBEN 5 pages
A flood forecasting model combining the Antecedent Precipitation Index (API) model with Nash's Instantaneous Unit Curve method is presented
Selecting the Best Forecasting-Implied Volatility Model Using Genetic Programming (179230.pdf)
2.55 MBEN 20 pages
The volatility smile is a crucial variable in option pricing and hedging strategies, and the Black-Scholes model has well-known deficiencies.
Download the full paper (ds21-project-agusti-et-al.pdf)
5.79 MBEN 34 pages
Vector Autoregression (VAR) models are widely used for forecasting macroeconomic time series data, but recent advancements in computational power and deep
![Preview of [PDF]](/images/pdf/f9/60/95/f960951b-2ee0-4e1a-81f8-fb1c80535ea5.png)
[PDF] (agarSDM21.pdf)
1.77 MBEN 9 pages
AttnAR (attention-based autoregression) is a novel approach for multivariate time series forecasting, addressing limitations of previous models by capturing
“The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting” (dt2232e.pdf)
1.79 MBEN 54 pages
The authors find that incorporating these variables into a standard macro-forecasting model improves quarterly GDP forecasts, highlighting the usefulness of
Poster (ICEM-2019.pdf)
1.5 MBEN 1 page
IEA Wind Task 36 focuses on wind power forecasting, with the second phase running from 2019-2021
Triangular-Prism RNN for Action-Agnostic Human Pose Forecasting (pose_forecast_wacv19_poster.pdf)
1.2 MBEN 1 page
The IEEE 2019 Winter Conference on Applications of Computer Vision introduced a novel Triangular-Prism RNN (TP-RNN) model for action-agnostic human pose forecasting, outperforming previous state-of-the-art methods with effective short-term and long-term predictions
View Table of Contents (FS-Guidebook8-_TOC.pdf)
412 KBEN 3 pages
Forecasting at Scale is a Foresight Guidebook exploring the demands on a forecasting system in large, complex organizations, presenting a case study of the
A Cost-Benefit Analysis of SWAN with Source Team Package ST6 (A_Cost-Benefit_Analysis_of_SWAN_with_Source_Team_Package_ST6.pdf)
5.73 MBEN 52 pages
Researchers from the Naval Research Laboratory conducted a cost-benefit analysis of the Simulating WAves Nearshore (SWAN) model with the Source Term Package...
Forecasting IBOVESPA Index with Fuzzy Logic (Newton-e-Outros.pdf)
221 KBEN 17 pages
It offers a novel method for stock market forecasting
SAS Forecasting Exam (forecasting-and-optimization-specialists.pdf)
466 KBEN 8 pages
5 Forecasting and Optimization Exam cover various topics, including time series forecasting, branch-and-bound, node saving,
Forecasting and Stress Testing with Quantile Vector Autoregression (f124007.pdf)
2.95 MBEN 27 pages
Researchers introduce a quantile vector autoregressive model, allowing for the modeling of interactions between any quantile of endogenous variables, unlike...
Eksploatacja i Niezawodność Pojazdów Policji: Analiza Efektywności, Bezpieczeństwa i Gotowości Operacyjnej (pdf-158266-84563)
754 KBEN 8 pages
The article explores the exploitation and reliability of commercial vehicles in various sectors, focusing on efficiency and security. It compares road transport companies with emergency services like fire brigades, armies, and police, highlighting different criteria for...
Seismicity Data Assimilation (EGU2017-10051.pdf)
33 KBEN 1 page
Researchers applied an Ensemble Kalman Filter to integrate data from a single borehole into a seismic cycle model, demonstrating the potential of data...
Sales Prediction Model (F99160511622.pdf)
368 KBEN 7 pages
A machine learning approach is proposed for a Big-Mart sales prediction framework, utilizing algorithms such as GLL, GBT, and Decision Trees to identify a...
Fourier CNN Forecasting (ds2019.pdf)
283 KBEN 10 pages
Researchers propose a time series forecasting framework using Convolutional Neural Networks (CNNs) that integrates required preprocessing steps and makes no
(pdf) (S1_paper_Dai_Halmin.pdf)
597 KBEN 8 pages
This study forecasts the travel demand for a bus service between Japan Advanced Institute of Science and Technology (JAIST) and Kanazawa, based on a travel...
Synoptic Problem Study (abakuks1.pdf)
143 KBEN 13 pages
Andris Abakuks' study examines the triple-link model in the synoptic problem, a statistical analysis of the relationships between the gospels of Matthew, Mark,...
StocSIPS (EGU2017-9940.pdf)
36 KBEN 1 page
Researchers discovered an intermediate "macroweather" regime, spanning 10 days to 30 years, with scaling and factorization properties, which has implications...
Download PDF (bilos23a.pdf)
912 KBEN 19 pages
Temporal data, such as time series, can be viewed as discretized measurements of an underlying function.
本所「教師在研討會發表之論文，或至其他學術機構之演講」之完整資料 (conference_1110906.pdf)
312 KBEN 29 pages
Teachers presented papers at conferences or lectures at other academic institutions, including:
1.
Rare Disease Forecasting (Viscadia-Case-Study-Go-to-Market-Model-1.pdf)
207 KBEN 2 pages
A specialty pharmaceutical company launching an oral prescription medication for a rare pediatric disease hired Viscadia to design a go-to-market forecasting
Mediterranean Sea Challenges (66808.pdf)
6.7 MBEN 30 pages
The Mediterranean community has developed advanced observing and forecasting systems through 30+ years of EU and national funding, enabling fit-for-purpose
Electricity Markets (major_components_in_irp_development_process_by_utilities-part_1.pdf)
6.32 MBEN 25 pages
The major components of an Integrated Resource Plan (IRP) include demand response potential, action plan, energy efficiency potential, generating resource...
Download PDF (C8599019320.pdf)
613 KBEN 3 pages
Cardiac strokes have become a common cause of death due to coronary artery disease, which is caused by blockage of arteries supplying blood to the heart due to...
Article (PDF) (pdf-71048-10855)
7.4 MBEN 9 pages
The Institute of Meteorology and Water Management – National Research Institute implemented an Ensemble Prediction System (EPS) that uses soil perturbations...
Storm Initiation Forecasting: A Multi-sensor Approach (1-Mecikalski-MultiSensorCI1-4h_v2.pdf)
1.82 MBEN 21 pages
Researchers propose a statistical method combining observational and numerical weather prediction data for 1-4 hour forecasts of convective storm initiation.
Full Paper (MechanismDesignBased.pdf)
77 KBEN 5 pages
Mechanism design theory has limitations, as identifying a solution concept doesn't completely specify a mechanism design problem.
Occupancy Flow Fields for Motion Forecasting (2203.03875.pdf)
3.46 MBEN 8 pages
The main contribution is the introduction of Occupancy Flow Fields, a new representation for motion forecasting in autonomous driving
consensus document (01-spi-m-o-consensus-statement-on-2019-novel-coronavirus-_covid-19_.pdf)
103 KBEN 4 pages
* The doubling time for new infections is estimated to be around 4-6 days.
* Population-wide reduction in contact rates can impact transmission, but the...
Model Predictive Control of Fuel Cell Micro Cogeneration Systems (09_016.pdf)
327 KBEN 7 pages
This technical report from Delft University of Technology's Center for Systems and Control presents a model predictive control approach for fuel cell micro cogeneration systems, published in the 2009 IEEE International Conference on Networking, Sensing and Control.
Data-driven modelling: an integrative approach for various application areas (program.pdf)
14 KBEN 3 pages
Prof. Johan Suykens presents an integrative approach to data-driven modelling, focusing on advanced black-box techniques for diverse applications. The lecture covers challenges and future directions in high-dimensional data analysis, with a specific emphasis on Support Vector...
KIMEP University Graduate Student Research Conference Proceedings, 2020 (STUDENT-CONFERENCE-PROCEEDINGS_-Nov.-212020_final.-1.pdf)
6.51 MBEN 555 pages
This book contains the conference materials of the KIMEP Graduate Student Research Conference held on November 21, 2020, at KIMEP University in Almaty, Kazakhstan. The conference featured scientific papers, presentations, and expert opinions.
Course plan format_BSADM(MBA) (course plan format_BSADMMBA.pdf)
576 KBEN 9 pages
2021
Course Name: Business Statistics and Analysis for Decision Making
Institute: Indus Institute of Management Studies (IIMS)
Faculty: Dr.
Prediction of Share Price by Using Machine Learning LSTM Model (ijtsrd51976.pdf)
1.34 MBEN 8 pages
Document en en
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