Results 21 to 30 of about 113,463 (315)
Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data
, 2023 Disease forecasting is a longstanding problem for the research community, which aims at informing and improving decisions with the best available evidence. Specifically, the interest in respiratory disease forecasting has dramatically increased since the
Matias Bossa (17275424) +3 more
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Optimized Deep Stacked Long Short-Term Memory Network for Long-Term Load Forecasting
IEEE Access, 2021 Long-term load forecasting (LTLF) is an essential process for strategical planning of the future needed extension in the power systems of any country.
Tamer Ahmed Farrag, Ehab E. Elattar
doaj +1 more source
Zhongguo dianli, 2020 With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of ...
Huiru ZHAO, Yihang ZHAO, Sen GUO
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Study on Medium and Long Term Power Load Forecasting Based on Combination Forecasting Model
Chemical Engineering Transactions, 2016 Load forecasting is an important work in the electric power department, and the medium and long term load forecasting is mainly aimed at the electric power generation planning and development planning.
Y. Feng
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Short-Term Load Forecasting 2019 [PDF]
, 2021 Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the ...
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Probabilistic population forecasting: Short to very long-term
International Journal of Forecasting, 2023 Population forecasts are used by governments and the private sector for planning, with horizons up to about three generations (around 2100) for different purposes. The traditional methods are deterministic using scenarios, but probabilistic forecasts are desired to get an idea of accuracy, assess changes, and make decisions involving risks.
Raftery, Adrian E., Ševčíková, Hana
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Justification of the acceptability of a hybrid approach to passenger and freight flows' predictive modelling in the context of sustainable development [PDF]
E3S Web of ConferencesThe relevance of the study is determined by the need for more accurate long-term forecasting in modeling passenger and freight flows. The methodological basis of the study consists of methods of analysis and forecasting of time series, methods of ...
Shapoval Ganna +5 more
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Energies, 2022 The complexity and uncertainty of the distribution system are increasing as the connection of distributed power sources using solar or wind energy is rapidly increasing, and digital loads are expanding. As these complexity and uncertainty keep increasing
Jintae Cho +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
DE-Optimized Hybrid ARIMA-LSTM for Long Term Electricity Load Forecasting
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems)Accurate long-term electricity load forecasting was essential for efficient energy planning and infrastructure development. This study addressed forecasting challenges in rapidly growing regions, such as East Java, where electricity demand was ...
Nanda Azizah Mardotillah +2 more
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