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Keyword

medium-term forecasting

Description: The prediction of future values or conditions over an intermediate time horizon, using statistical, computational, or domain-specific models.
OpenAlex ID: keywords/medium-term-forecasting
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
2020 · Tanveer Ahmad, Hongcai Zhang, et al. · Sustainable Cities and Society · 504
Validation of short and medium term operational solar radiation forecasts in the US
2010 · Richard Perez, Sergey Kivalov, et al. · Solar Energy · 450
Forecasting methods for management
1990 · Long Range Planning · 352
Models for mid-term electricity demand forecasting incorporating weather influences
2005 · S MIRASGEDIS, Y SARAFIDIS, et al. · Energy · 286
Monthly Electric Energy Demand Forecasting Based on Trend Extraction
2006 · E. Gonzalez-Romera, M.A. Jaramillo-Moran, et al. · IEEE Transactions on Power Systems · 254
A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data
2019 · Changjiang Xiao, Nengcheng Chen, et al. · Environmental Modelling & Software · 244
Short–mid-term solar power prediction by using artificial neural networks
2011 · Ercan İzgi, Ahmet Öztopal, et al. · Solar Energy · 233
Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines
2022 · Muhammad Fahim, Vishal Sharma, et al. · IEEE Access · 231
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Data mining and wind power prediction: A literature review
2012 · Ilhami Colak, Seref Sagiroglu, et al. · Renewable Energy · 222
Solar generation prediction using the ARMA model in a laboratory-level micro-grid
2012 · Rui Huang, Tiana Huang, et al. · IEEE International Conference on Smart Grid Communications (SmartGridComm) · 215
A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm
2010 · W.K. Wong, Z.X. Guo · International Journal of Production Economics · 186
A hybrid sales forecasting system based on clustering and decision trees
2005 · Sébastien Thomassey, Antonio Fiordaliso · Decision Support Systems · 184
Earthquake prediction - a statistician's view.
1978 · David VERE-JONES · Journal of Physics of the Earth · 182
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Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review
2016 · Swasti R. Khuntia, José L. Rueda, et al. · IET Generation Transmission & Distribution · 180
Load forecasting techniques and methodologies: A review
2012 · Arunesh Kumar Singh, Ibraheem, et al. · International Conference on Power, Control and Embedded Systems · 176
Multi-timescale photovoltaic power forecasting using an improved Stacking ensemble algorithm based LSTM-Informer model
2023 · Yisheng Cao, Gang Liu, et al. · Energy · 164
Methods of Forecasting Electric Energy Consumption: A Literature Review
2022 · Roman V. Klyuev, Irbek D. Morgoev, et al. · Energies · 163
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Different Models for Forecasting Wind Power Generation: Case Study
2017 · David Barbosa de Alencar, Carolina De Mattos Affonso, et al. · Energies · 153
What Macroeconomists Should Know about Unit Roots: A Bayesian Perspective
1994 · Harald Uhlig · Econometric Theory · 146
Time series analysis and forecasting techniques for municipal solid waste management
2002 · J. Navarro-Esbrı́, E. Diamadopoulos, et al. · Resources Conservation and Recycling · 145
Forecasting Solar PV Output Using Convolutional Neural Networks with a Sliding Window Algorithm
2020 · Vishnu Suresh, Przemyslaw Janik, et al. · Energies · 140
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A comprehensive review and analysis of solar forecasting techniques
2021 · Pardeep Singla, Manoj Duhan, et al. · Frontiers in Energy · 125
A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting
2021 · Tanveer Ahmad, Dongdong Zhang · Energy · 121
Missing value imputation for short to mid-term horizontal solar irradiance data
2018 · Haydar Demirhan, Zoe Renwick · Applied Energy · 120
Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks
2001 · J. V. Ringwood, D. Bofelli, et al. · Journal of Intelligent & Robotic Systems · 112
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Works count: 1,889
Citation count: 13,590
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