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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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Forecasting Air Quality Indeks Using Long Short Term Memory
Journal of Applied Informatics and ComputingExercise offers significant physical and mental health benefits. However, undetected air pollution can have a negative impact on individual health, especially lung health when doing physical activity in crowded sports venues.
Irfan Wahyu Ramadhani +7 more
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Spatial-Temporal Correlation Neural Network for Long Short-Term Demand Forecasting During COVID-19
IEEE Access, 2023 Demand forecasting is an important method for dealing with the supply-demand relationship in social resource management. The demands of daily life discussed in this study are mainly about hotels, restaurants, gas stations, drugstores, shopping malls, etc.
Xiaochuan Guo, Wenbo Xie, Xin Li
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Modeling and long-term forecasting demand in spare parts logistics businesses
International Journal of Production Economics, 2018 In order to provide high service levels, companies competing in the electronics manufacturing sector need to ensure the availability of spare parts for repair and maintenance operations.
J. Dombi, T. Jónás, Z. Tóth
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Medium and Long Term Energy Forecasting Methods: A Literature Review
IEEE AccessEstimating utility demand remains a significant challenge worldwide, being accuracy often compromised by numerous variables involved and limited relevant data available; this compromises models and impacts resource planning, infrastructure, and energy ...
Josivan Rodrigues Dos Reis +6 more
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IET Intelligent Transport Systems, 2023 To enhance the control effect of intelligent transportation system (ITS) of expressway, avoid blind travel causing traffic congestion, improve road capacity, and achieve the purpose of smooth and efficient operation of the network, 3σ criterion and 2σ ...
Xingli Jia +4 more
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Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2019 The object of the research is the production processes implemented at NPP of the SE NNEGC "Energoatom". The subject of the research is planned preventive repairs of the equipment of NPP power units.
S. Ye. Saukh, A. V. Borysenko
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Deep Neural Network and Long Short-Term Memory for Electric Power Load Forecasting
Applied Sciences, 2020 Forecasting domestic and foreign power demand is crucial for planning the operation and expansion of facilities. Power demand patterns are very complex owing to energy market deregulation.
Namrye Son, Seunghak Yang, Jeongseung Na
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, 2017 Long-term load forecasting provides vital information about future load and it helps the power industries to make decision regarding electrical energy generation and delivery.
Danladi Ali +3 more
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Long-Term Water Demand Forecasting [PDF]
, 2015 This chapter reviews existing long term water demand forecasting methodologies. Based on an extensive literature review, it shows that the domain has benefited from contributions by economists, engineers and system modelers, producing a wide range of tools, many of which have been tested and adopted by practitioners.
openaire +3 more sources