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AA-forecast: anomaly-aware forecast for extreme events
Time series models often are impacted by extreme events and anomalies, both prevalent in real-world datasets. Such models require careful...
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Influence of Advance Time on Accuracy of the Ionospheric Total Electron Content Forecast
The total electron content of the ionosphere plays an important role in determining the operational conditions for various technological systems,...
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Hybrid deep learning framework for weather forecast with rainfall prediction using weather bigdata analytics
The volume and complexity of weather data, along with missing values and high correlation between collected variables, make it challenging to develop...
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Probabilistic forecast of electric vehicle charging demand: analysis of different aggregation levels and energy procurement
Electric vehicles (EVs) are expected to be vital in transitioning to a low-carbon energy system. However, integrating EVs into the power grid poses...
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Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots
The increasing pervasiveness of ICT technologies and sensor infrastructures is enabling police departments to gather and store increasing volumes of...
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FdAI: Demand Forecast Model for Medical Tourism in India
Forecasting is involved in the estimation of statements about particular events concerned those are uncertain events or computation of future. The...
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Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility
In this paper, we focus on a range-based measure for volatility and present a forecasting tool combining the heterogeneous autoregressive model with...
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A forecast model of short-term wind speed based on the attention mechanism and long short-term memory
Gale is a kind of disaster weather, and the forecast of wind speed is a difficult point in operational weather forecast. In this study, we propose a...
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A homogenous forecast model based on the hybrid imputation method for forecasting national patent application numbers
Technological innovation is the key solution to promoting economic growth and improving quality of living. The number of patent applications in...
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Forecast evaluation for data scientists: common pitfalls and best practices
Recent trends in the Machine Learning (ML) and in particular Deep Learning (DL) domains have demonstrated that with the availability of massive...
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A probabilistic spatio-temporal neural network to forecast COVID-19 counts
Geo-referenced and temporal data are becoming more and more ubiquitous in a wide range of fields such as medicine and economics. Particularly in the...
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Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder
To successfully increase the share of renewable energy sources in the power system and for counteract their fluctuating nature in view of system...
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Machine learning algorithms to forecast air quality: a survey
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is important to develop forecasting mechanisms that can be...
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Newtonian Physics Informed Neural Network (NwPiNN) for Spatio-Temporal Forecast of Visual Data
Machine intelligence is at great height these days and has been evident with its effective provenance in almost all domains of science and...
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MStoCast: Multimodal Deep Network for Stock Market Forecast
Stock market analysis is a complex task that involves various types of data, such as web news, historical prices, and technical market indicators....
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A Study on the Export Trend Forecast of Chinese Pharmaceutical Industry Based on GM (1,1) Model
This study aimed to forecast the exports of Chinese pharmaceutical industry by GM (1,1) gray forecasting model. The data of the study are taken from...
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A technique to forecast Pakistan’s news using deep hybrid learning model
Forecasting future events is a challenging task that can have a significant impact on decision-making and policy-making. In this research, we focus...
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A Qualitative Evaluation of an AI-Based Study Progress Forecast
This paper presents the development and evaluation of a first prototype of an ai-based study progress forecast. This service is integrated within a...
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Power consumption forecast model using ensemble learning for smart grid
The prediction of power consumption of smart meters plays a vital role in power distribution and management in the smart grid, which depends on...
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Data-driven method for mobile game publishing revenue forecast
Games as a service is similar to software as a service, which provides players with game content on a continuous monetization model. Game revenue...
