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Long-Term Solar Irradiance Forecasting [PDF]
Problems of the Regional Energetics, 2020 The past decade has been characterized by considerable increase of the penetration level of so-lar photovoltaic systems in energy systems throughout the world. At the same time, solar irradi-ance has an intermittent nature.
Braga D., Chicco G., Golovanov N.
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An explicit method of mesoscale convective storm prediction for the central region of Russia [PDF]
Advances in Science and Research, 2018 This work presents simulation results of the storm observed on the 13–14 July 2016 over the Central region of Russia. The Cumulonimbus cloud (Cb) electrification model coupled with the numerical weather prediction model WRF-ARW were used for this ...
I. M. Gubenko +5 more
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The Utility of Long-Term Forecasting [PDF]
, 1977 Forecasts are an essential ingredient of the planning process. Although frequently of necessity inaccurate, they can nevertheless be of considerable utility; for they should not be judged by the degree of uncertainty they convey but by the degree to ...
Helmer, O.
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Nonlinear ARIMAX model for long –term sectoral demand forecasting [PDF]
Management Science Letters, 2018 With the rapid increase of energy demand, it is becoming increasingly important to obtain accurate energy demand forecasts. To incorporate long time causal relationships, autoregressive with exoge-nous regression components models have received ...
Najmeh Neshat +2 more
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Applied Sciences, 2021 Future demand forecasting of the excavators is of great significance to guide the supply and marketing plan. For a long time, market forecasting of the construction machinery is regarded as short-term forecasting, which lacks the analysis of macro ...
Bin Zhang +6 more
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Journal of Big Data, 2021 It is evident that developing more accurate forecasting methods is the pillar of building robust multi-energy systems (MES). In this context, long-term forecasting is also indispensable to have a robust expansion planning program for modern power systems.
Zohreh Kaheh, Morteza Shabanzadeh
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Intelligence based Accurate Medium and Long Term Load Forecasting System
Applied Artificial Intelligence, 2022 In this study, we aim to provide an efficient load prediction system projected for different local feeders to predict the Medium- and Long-term Load Forecasting.
Faisal Mehmood Butt +7 more
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A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
IEEE Access, 2021 In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi +3 more
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Monthly Runoff Forecasting by Non-Generalizing Machine Learning Model and Feature Space Transformation (Vakhsh River Case Study) [PDF]
Problems of the Regional Energetics, 2022 Energy prices and сost of materials for solar and wind power plants have increased over the past year. Therefore, significance increases for the hydropower and long-term (1–10 years) planning generation for the existing hydropower plants, which requires ...
Matrenin P.V. +3 more
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International Journal of Computational Intelligence Systems, 2023 Long-term wind power forecasting is a challenging endeavor that requires predictions that span years into the future. Accurate forecasting is crucial for optimizing energy production, grid integration, maintenance scheduling, and financial planning. This
Kuen-Suan Chen +4 more
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