MDPI

Forecasting Template

Write in a clean editor, then format for Forecasting in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Forecasting format

Forecasting is a peer-reviewed journal published by MDPI, covering Evaluation and Optimization Models, Stock Market Forecasting Methods, Forecasting Techniques and Applications. Over its lifetime it has published 1,312 papers, which have received 4,827 citations.

PublisherMDPI
Reference styleNumbered (MDPI)
Numbered — [1], [2] in the text
1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Forecasting 2023, 12, 45–58.

Formats any DOI in Forecasting style. No sign-up.

Publishes research inEvaluation and Optimization Models Stock Market Forecasting Methods Forecasting Techniques and Applications Energy Load and Power Forecasting Collaboration in agile enterprises
ISSN2571-9394
Citation impact (2-yr)3.68
h-index33
i10-index129
Article processing charge$1,515
Open accessYes — indexed in DOAJ
Top institutions publishing hereXi'an Jiaotong University
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Forecasting per year

63
2012
54
2013
30
2014
12
2015
11
2018
44
2019
30
2020
59
2021
57
2022
36
2023
56
2024
80
2025

Citation impact of Forecasting by publication year

35
2012
34
2013
15
2014
7
2015
186
2018
40
2019
598
2020
1.1K
2021
856
2022
713
2023
462
2024
179
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Forecasting

Trends in Using IoT with Machine Learning in Health Prediction System

Amani Aldahiri, Bashair Alrashed, Walayat Hussain · 7 Mar 2021

Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things (IoT) data. These hybrid technologies work smartly to improve the decision-making process in different areas such as education, security, business, and the healthcare industry. ML empowers the IoT to demystify hidden patterns in bulk data for optimal prediction and recommendation…

On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles

Kate Murray, Andrea Rossi, Diego Carraro et al. · 29 Jan 2023

Traders and investors are interested in accurately predicting cryptocurrency prices to increase returns and minimize risk. However, due to their uncertainty, volatility, and dynamism, forecasting crypto prices is a challenging time series analysis task. Researchers have proposed predictors based on statistical, machine learning (ML), and deep learning (DL) approaches, but the literature is limited. Indeed,…

Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications

Rejaul Islam, S M Sajjad Hossain Rafin, Osama A. Mohammed · 29 Dec 2022

Emerging electric vehicle (EV) technology requires high-voltage energy storage systems, efficient electric motors, electrified power trains, and power converters. If we consider forecasts for EV demand and driving applications, this article comprehensively reviewed power converter topologies, control schemes, output power, reliability, losses, switching frequency, operations, charging systems, advantages, and disadvantages. This article is intended to…

Large Language Models: Their Success and Impact

Spyros Makridakis, Fotios Petropoulos, Yanfei Kang · 25 Aug 2023

ChatGPT, a state-of-the-art large language model (LLM), is revolutionizing the AI field by exhibiting humanlike skills in a range of tasks that include understanding and answering natural language questions, translating languages, writing code, passing professional exams, and even composing poetry, among its other abilities. ChatGPT has gained an immense popularity since its launch, amassing 100…

Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin

Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas et al. · 25 Jul 2020

The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Level 3 estimates rainfall from passive microwave sensors onboard satellites that are associated with several uncertainty sources such as sensor calibration, retrieval errors, and orographic effects. This study aims to provide a comprehensive investigation of multiple machine learning (ML) techniques (Random Forest, and Neural Networks),…

Forecasting template — frequently asked questions

How do I write a paper in the Forecasting format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Forecasting template. When you export, DocuGuru compiles the paper into the official MDPI format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Forecasting use?
Forecasting uses Numbered (MDPI) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Forecasting 2023, 12, 45–58.
Do I need to know LaTeX to submit to Forecasting?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready Forecasting document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Forecasting template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Forecasting format with correct headings, figures, tables, and numbered citations.
What is Forecasting?
Forecasting - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready Forecasting PDF?
Yes — DocuGuru produces a PDF built with the official Forecasting template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the Forecasting template cost?
You can start writing in the Forecasting template for free. Exporting the final submission-ready Forecasting PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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