Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations by Pavel V. Matrenin, Alina I. Stepanova

“…Ensemble decision trees were applied for time series forecasting, and an analysis of the impact of various factors on forecasting accuracy was conducted. …”
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Logistics Sector Turnover: Forecasting for Turkey, EU27 and EA19 under Effects of COVID-19 by Dursun Balkan, Goknur Arzu Akyuz

“…A similar approach is repeated for the EU27 and EA19 countries to put forward the trends and forecasts as well as a detailed comparative discussion among countries. …”
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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

“…The integration of photovoltaic (PV) power into electrical grids introduces significant uncertainty due to the inherent volatility and intermittency of solar energy, underscoring the need for precise short and medium-term PV power forecasting. Despite the superior performance of Transformer-based time series methods, their application to PV power prediction remains suboptimal. …”
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Real-Time Run-Off-Road Risk Prediction Based on Deep Learning Sequence Forecasting Approach by Yunteng Chen, Lijun Wei, Qiong Bao, Huansong Zhang

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A Forecast Model for COVID-19 Spread Trends Using Blog and GPS Data from Smartphones by Ryosuke Susuta, Kenta Yamada, Hideki Takayasu, Misako Takayasu

“…This study investigates the feasibility of using GPS data and frequency of COVID-19-related blog words to forecast new infection trends through a linear regression analysis. …”
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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection. by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

“…The predictions from these models are combined using a stacking ensemble technique to generate the final forecast. To enhance model evaluation, we divided the dataset into weekday and weekend subsets, allowing for a more detailed analysis of energy consumption patterns. …”
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Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…These features are represented as complex numbers, which improve the informational content of the data for subsequent analysis, thereby boosting forecasting performance. …”
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Energy Demand and CO2 Emission Forecast Model for Turkey with Deep Learning and Machine Learning Algorithms by Emre Bolat, Yagmur Arikan Yildiz

“…This study has conducted a forecast analysis of the energy demand and carbon dioxide (CO2) emissions of Turkey, a developing country. …”
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Cereal and Rapeseed Yield Forecast in Poland at Regional Level Using Machine Learning and Classical Statistical Models by Edyta Okupska, Dariusz Gozdowski, Rafał Pudełko, Elżbieta Wójcik-Gront

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The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting by Abdelhakim El hendouzi, Abdennaser Bourouhou, Omar Ansari

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Comprehensive Forecasting of Electrical Quantities in an Educational Building via Artificial Intelligence-Driven Distributed Measurement System by Virginia Negri, Roberto Tinarelli, Lorenzo Peretto, Alessandro Mingotti

“…These electrical quantities are then forecasted through an AI-driven framework that manages the data. …”
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Effective Forecasting of Insurer Capital Requirements: ARMA-GARCH, ARMA-GARCH-EVT, and DCC-GARCH Approaches by Thitivadee Chaiyawat, Pannarat Guayjarernpanishk

“…Specifically, 1-day and 10-day VaR forecasts are generated using the ARMA-GARCH and DCC-GARCH models, while the ARMA-GARCH-EVT model is employed for 1-day VaR forecasting. …”
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COMPARISON OF DOUBLE EXPONENTIAL SMOOTHING AND FUZZY TIME SERIES MARKOV CHAIN IN FORECASTING FOREIGN TOURIST ARRIVALS by Darvi Mailisa Putri, Afrimayani Afrimayani, Lilis Harianti Hasibuan, Fitri Rahmah Ul Hasanah, Miftahul Jannah

“…This research aims to forecast data on foreign tourist arrivals, especially land routes. …”
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Sky Temperature Forecasting in Djibouti: An Integrated Approach Using Measured Climate Data and Artificial Neural Networks by Hamda Abdi, Abdou Idris, Anh Dung Tran Le

“…The purpose of this paper is to provide a comprehensive analysis of the sky temperature measurement conducted, for the first time, in Djibouti, with a pyrgeometer, a tool designed to measure longwave radiation as a component of thermal radiation, and an artificial neural network (ANN) model for improved sky temperature forecasting. …”
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SRFNet: Multimodal Based Selective Receptive Field Neural Network for Time Series Forecast of Flood Range by Zhiqing Li, Zeqiang Chen, Lai Chen, Xu Tang, Nengcheng Chen

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FORECASTING THE VALUE OF INDONESIA'S OIL AND GAS IMPORTS USING SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL by Vera Maya Santi, Rahadian Wahyu, Ibnu Hadi

“…Therefore, a step is needed to prevent an increase in the value of oil and gas imports in the coming period. One method of analysis that can be used is forecasting using the time series method with the Seasonal Autoregressive Integrated Moving Average (SARIMA) model. …”
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A deep learning based framework for enhanced reference evapotranspiration estimation: evaluating accuracy and forecasting strategies by Suman Saurabh Sarkar, Jatin Bedi, Sushma Jain

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Developing a demand planning strategy for joint forecasting and employing analytical tool in an empirical case study by Kiran Basavaraju, Omid Fatahi Valilai

“…A deeper focus is placed on the analysis of the demand planning processes and forecasting techniques. …”
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Collaborative Forecasting of Multiple Energy Loads in Integrated Energy Systems Based on Feature Extraction and Deep Learning by Zhe Wang, Jiali Duan, Fengzhang Luo, Xiaoyu Qiu

“…Accurate load forecasting is crucial for the safe, stable, and economical operation of integrated energy systems. …”
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Implementation of the Fuzzy Time Series Singh Method for Forecasting Non-Oil and Gas Export Values in Indonesia by Maharani Safira B. Borahima, Hartayuni Sain, Iman Setiawan, Firda Fadri

“…The government requires further analysis to forecast future trends in non-oil and gas export values due to the uncertain and fluctuating patterns. …”
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