Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…Short-term load forecasting (STLF) can be utilized to predict usage fluctuation in a short time period and accurate forecasting can save a big chunk of a country's economic loss. …”
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Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting by Türker Tuğrul, Sertaç Oruç, Mehmet Ali Hınıs

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Assessment of the Adequacy of Electrical Energy Demand Forecast Model for the Nigeria Power Distribution System via Stationarity Test by Olanike Ade-Ikuesan, Isaiah Adejumobi, Ibrahim Adebisi, Ganiyu Dawodu

“…Findings shows that data from three of the feeders were non-stationary they will go through data differencing to make the data suitable for further investigations as a mixture of an autoregressive integrated moving average ARIMA while two are stationary and can be authenticated for further analyses. The application of this test to further difference the datapoints that are non-stationary will lead to stationary dataset, hence, give viable model for accurate energy demand forecasting model development. …”
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Effects of environmental factors on dengue incidence in the Central Region, Burkina Faso: A time series analyses. by Jean Claude Romaric Pingdwindé Ouédraogo, Sylvain Ilboudo, Richard Joshua Tetteh, Charles Kyei, Siaka Lougué, Wendlasida Thomas Ouédraogo, Salfo Ouédraogo, David Dosoo, Kwaku Poku Asante, Léon Gueswendé Blaise Savadogo

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FORECASTING HONEY PRODUCTION IN ROMANIA AND THE EUROPEAN UNION: ANALYSIS OF HISTORICAL TRENDS (1961-2022) AND PROJECTIONS UNTIL 2035 by Silviu-Ionuț BEIA, Dana TĂPĂLOAGĂ, Cosmin ȘONEA, Lucian-Ionel ILIE, Paul-Rodian TĂPĂLOAGĂ, Cosmina Andreea SMEDESCU, Violeta Elena BEIA, Dragoș SMEDES

“…Romania, a leading producer, benefits from favourable conditions but faces challenges such as climate change, habitat loss, and market competition. This research analyses historical honey production trends and forecasts production until 2035 using FAOSTAT data and an exponential smoothing (ETS) model. …”
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Analysing and visualising mobility vulnerability and recovery across Florida neighbourhoods: a case study of Hurricane Ian by Jinpeng Wang, Yujie Hu, Li Duan, George Michailidis

“…Furthermore, our findings highlight the significance of factoring in forecasted hurricane paths when analysing mobility impacts, as we noted more substantial effects on neighbourhoods along the predicted trajectory.…”
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Technical, economic and lifecycle greenhouse gas emissions analyses of solid sorbent direct air capture technologies by Sylvanus Lilonfe, Sarah Rodgers, Amir F.N. Abdul-Manan, Ioanna Dimitriou, Jon McKechnie

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Predictability of Semiannual Atmospheric Circulation Type Frequencies in the Extratropics Using the EC‐Earth3 Decadal Forecasting System by S. Brands, E. Cimadevilla, J. Fernández

“…Abstract We investigate the skill of the fully initialized decadal forecasting system EC‐Earth3 in re‐forecasting the semiannual occurrence frequencies of synoptic‐scale atmospheric circulation types in the extratropics. …”
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Soil moisture forecasting from sensors-based soil moisture, weather and irrigation observations: A systematic review by Iustina Ivanova

“…This forecast is useful for irrigation decisions support and crop growth monitoring. …”
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Forecast of sugar demand in retail using SARIMA and decomposition models case study: a retail store in Indonesia by Titi Sari, Sekar Sakti

“…This study uses a stationary test and ACF pattern analyses to prepare the data, a residual test to avoid forecast bias, cross-validation to check the forecast model performance, and MAPE as the performance indicator. …”
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Mass Rapid Transit Ridership Forecast Based on Direct Ridership Models: A Case Study in Wuhan, China by Ruili Guo, Zhengdong Huang

“…The proposed PCR-based DRM provides insights for forecasting transit demand brought about by new metro lines and forecasting the consequences of land use development.…”
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Analyzing Taiwanese Traffic Patterns on Consecutive Holidays Through Forecast Reconciliation and Prediction-Based Anomaly Detection Techniques by Mahsa Ashouri, Frederick Kin Hing Phoa, Marzia Angela Cremona

“…Being based on OLS, it is efficient and permits avoiding the computational burden of more complex methods. Analyses of Taiwan’s consecutive holidays in 2019, 2020, and 2021 (73 days) showed strong variations in anomalies across different directions and highways. …”
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Forecasting Electricity Power Generation of Pawan Danavi Wind Farm, Sri Lanka, Using Gene Expression Programming by Damayanthi Herath, Jeevani Jayasinghe, Upaka Rathnayake

“…This paper presents the development of a wind power forecasting model based on gene expression programming (GEP) for one of the major wind farms in Sri Lanka, Pawan Danavi. …”
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Forecasting Eruptions at Steamboat Geyser: Time Scales, Differentiability, and Detectability of Seismic Precursors Through Data‐Driven Methods by Alberto Ardid, Anna Barth, David Dempsey, Michael Manga, Shane J. Cronin

“…Abstract Geyser eruptions provide a test bed for using geophysical data to forecast eruptions and to understand heat and mass transport in hydrothermal systems. …”
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Assessing the performance of physical transposition models in photovoltaic power forecasting: A comprehensive micro and macro accuracy analysis by Eslam Mahmoudi, João Lucas de Souza Silva, Tárcio André dos Santos Barros

“…Furthermore, the statistical analyses identify the best-performing transposition models for each case study under all-sky and sky-conditions scenarios, providing practical guidelines for model selection.…”
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Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes by D. Mignac, J. Waters, D. J. Lea, M. J. Martin, J. While, A. T. Weaver, A. Vidard, C. Guiavarc'h, D. Storkey, D. Ford, E. W. Blockley, J. Baker, K. Haines, M. R. Price, M. J. Bell, R. Renshaw

“…<p>The Forecast Ocean Assimilation Model (FOAM) is the Met Office's operational, coupled ocean–sea ice system, which produces analyses and short-range forecasts at global and regional scales each day for various stakeholders, including defence, marine navigation and science users. …”
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Forecasting Bitcoin Volatility Spikes From Whale Transactions and CryptoQuant Data Using Synthesizer Transformer Models by Dorien Herremans, Kah Wee Low

“…The cryptocurrency market is highly volatile compared to traditional financial markets. Hence, forecasting its volatility is crucial for risk management. …”
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Integrating Forecasting Service and Gen2 Blockchain Into a Local Energy Trading Platform to Promote Sustainability Goals by Liaqat Ali, M. Imran Azim, Nabin Babu Ojha, Jan Peters, Vivek Bhandari, Anand Menon, Jemma Green, S. M. Muyeen

“…The proposed LEM trading platform involves several critical steps, including the creation of typical forecasting profiles for load consumption, solar generation, and battery state-of-charge (SOC) through a forecasting solution. …”
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Global, regional, and national prevalence of prostate cancer from 1990 to 2021: a trend and health inequality analyses by Xiaohu Zhao, Shuchen Liu, Zhihui Zou, Chaozhao Liang

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Machine-learning derived identification of prognostic signature to forecast head and neck squamous cell carcinoma prognosis and drug response by Sha-Zhou Li, Hai-Ying Sun, Yuan Tian, Liu-Qing Zhou, Tao Zhou

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