Forecasting for a social network: Trend analysis in 2004 and today.
- Published in:
- Strategic Design Research Journal, 2015, v. 8, n. 1, p. 9, doi. 10.4013/sdrj.2015.81.02
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- Publication type:
- Article
Works matching Forecasting
Results: 5000
1
2
HOW DO LESS ADVANCED FORECASTING METHODS PERFORM ON WEEKLY REVPAR IN DIFFERENT FORECASTING HORIZONS FOLLOWING THE RECESSION?
- Published in:
- Tourism Analysis, 2012, v. 17, n. 4, p. 459, doi. 10.3727/108354212X13473157390722
- By:
- Publication type:
- Article
3
Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting.
- Published in:
- Water Resources Research, 2022, v. 58, n. 6, p. 1, doi. 10.1029/2021WR031862
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- Publication type:
- Article
4
The evolution of sales forecasting management: a 20-year longitudinal study of forecasting practices.
- Published in:
- Journal of Forecasting, 2006, v. 25, n. 5, p. 303, doi. 10.1002/for.989
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- Publication type:
- Article
5
Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System.
- Published in:
- Forecasting, 2024, v. 6, n. 1, p. 204, doi. 10.3390/forecast6010012
- By:
- Publication type:
- Article
6
Flood forecasts based on multi-model ensemble precipitation forecasting using a coupled atmospheric-hydrological modeling system.
- Published in:
- Natural Hazards, 2014, v. 74, n. 2, p. 325, doi. 10.1007/s11069-014-1204-6
- By:
- Publication type:
- Article
7
Short-term load forecasting coupled with weather profile generation methodology.
- Published in:
- Building Services Engineering Research & Technology, 2018, v. 39, n. 3, p. 310, doi. 10.1177/0143624417740858
- By:
- Publication type:
- Article
8
RESEARCH ON POWER LOAD FORECASTING BASED ON SUPPORT VECTOR MACHINE.
- Published in:
- Journal of the Balkan Tribological Association, 2016, v. 22, n. 1, p. 151
- By:
- Publication type:
- Article
9
NARX: Contribution‐factor‐based short‐term multinodal load forecasting for smart grid.
- Published in:
- International Transactions on Electrical Energy Systems, 2021, v. 31, n. 9, p. 1, doi. 10.1002/2050-7038.12726
- By:
- Publication type:
- Article
10
Comparative study of continuous hourly energy consumption forecasting strategies with small data sets to support demand management decisions in buildings.
- Published in:
- Energy Science & Engineering, 2022, v. 10, n. 12, p. 4694, doi. 10.1002/ese3.1298
- By:
- Publication type:
- Article
11
A novel long term solar photovoltaic power forecasting approach using LSTM with Nadam optimizer: A case study of India.
- Published in:
- Energy Science & Engineering, 2022, v. 10, n. 8, p. 2909, doi. 10.1002/ese3.1178
- By:
- Publication type:
- Article
12
Adaptive electricity consumption forecasting approach for universal environments.
- Published in:
- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-10147-2
- By:
- Publication type:
- Article
13
Incidental Emotions and Hedonic Forecasting: The Role of (Un)certainty.
- Published in:
- Frontiers in Psychology, 2020, v. 11, p. N.PAG, doi. 10.3389/fpsyg.2020.536376
- By:
- Publication type:
- Article
14
Short-term wind speed forecasting system using deep learning for wind turbine applications.
- Published in:
- International Journal of Electrical & Computer Engineering (2088-8708), 2020, v. 10, n. 6, p. 5779, doi. 10.11591/ijece.v10i6.pp5779-5784
- By:
- Publication type:
- Article
15
Study on the load forecasting of power system based on gray forecasting model.
- Published in:
- Metallurgical & Mining Industry, 2015, n. 10, p. 89
- By:
- Publication type:
- Article
16
Multi-Step Ahead Probabilistic Forecasting of Daily Streamflow Using Bayesian Deep Learning: A Multiple Case Study.
- Published in:
- Water (20734441), 2022, v. 14, n. 22, p. 3672, doi. 10.3390/w14223672
- By:
- Publication type:
- Article
17
Development of a Hydrological Drought Forecasting Model Using Weather Forecasting Data from GloSea5.
- Published in:
- Water (20734441), 2020, v. 12, n. 10, p. 2785, doi. 10.3390/w12102785
- By:
- Publication type:
- Article
18
The Impact of Age Group in Hierarchical Forecasting of Monthly Blood Donations in Zimbabwe.
- Published in:
- Risk Management & Healthcare Policy, 2024, v. 17, p. 311, doi. 10.2147/RMHP.S439699
- By:
- Publication type:
- Article
19
ANALYSIS AND FORECASTING OF TEMPERATURE USING TIME SERIES FORECASTING METHODS A Case Study of Mus.
- Published in:
- Thermal Science, 2023, v. 27, n. 4B, p. 3081, doi. 10.2298/TSCI2304081T
- By:
- Publication type:
- Article
20
Forecasting: Trying to Reason from Hurricane Season.
- Published in:
- INFORMS Transactions on Education, 2006, v. 6, n. 2, p. 1, doi. 10.1287/ited.6.2.1
- By:
- Publication type:
- Article
21
Evaluation of precipitation forecasts for five-day streamflow forecasting in Narmada River basin.
- Published in:
- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2023, v. 68, n. 1, p. 161, doi. 10.1080/02626667.2022.2151913
- By:
- Publication type:
- Article
22
Improving the outputs of regional heavy rainfall forecasting models using an adaptive real-time approach.
- Published in:
- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2022, v. 67, n. 4, p. 550, doi. 10.1080/02626667.2022.2027951
- By:
- Publication type:
- Article
23
Electricity load forecasting using a deep neural network.
- Published in:
- Engineering & Applied Science Research, 2019, v. 46, n. 1, p. 10, doi. 10.14456/easr.2019.2
- By:
- Publication type:
- Article
24
Load2Load: Day-ahead load forecasting at aggregated level.
- Published in:
- Turkish Journal of Electrical Engineering & Computer Sciences, 2022, v. 30, n. 7, p. 2636, doi. 10.55730/1300-0632.3960
- By:
- Publication type:
- Article
25
Recent developments in multivariate wind and solar power forecasting.
- Published in:
- WIREs: Energy & Environment, 2023, v. 12, n. 2, p. 1, doi. 10.1002/wene.465
- By:
- Publication type:
- Article
26
Forecasting to support EMS tactical planning: what is important and what is not: Forecasting to support EMS tactical...: M. Rezaei and A. Ingolfsson.
- Published in:
- Health Care Management Science, 2024, v. 27, n. 4, p. 604, doi. 10.1007/s10729-024-09690-7
- By:
- Publication type:
- Article
27
Elastic Momentum-Enhanced Adaptive Hybrid Method for Short-Term Load Forecasting.
- Published in:
- Energies (19961073), 2025, v. 18, n. 13, p. 3263, doi. 10.3390/en18133263
- By:
- Publication type:
- Article
28
Long-Term Multi-Resolution Probabilistic Load Forecasting Using Temporal Hierarchies.
- Published in:
- Energies (19961073), 2025, v. 18, n. 11, p. 2908, doi. 10.3390/en18112908
- By:
- Publication type:
- Article
29
An Informer Model for Very Short-Term Power Load Forecasting.
- Published in:
- Energies (19961073), 2025, v. 18, n. 5, p. 1150, doi. 10.3390/en18051150
- By:
- Publication type:
- Article
30
Time Series Foundation Model for Improved Transformer Load Forecasting and Overload Detection.
- Published in:
- Energies (19961073), 2025, v. 18, n. 3, p. 660, doi. 10.3390/en18030660
- By:
- Publication type:
- Article
31
Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation.
- Published in:
- Energies (19961073), 2024, v. 17, n. 12, p. 2844, doi. 10.3390/en17122844
- By:
- Publication type:
- Article
32
Stock Price Forecasting of IBEX35 Companies in the Petroleum, Electricity, and Gas Industries.
- Published in:
- Energies (19961073), 2023, v. 16, n. 9, p. 3856, doi. 10.3390/en16093856
- By:
- Publication type:
- Article
33
Multi-Horizon Wind Power Forecasting Using Multi-Modal Spatio-Temporal Neural Networks.
- Published in:
- Energies (19961073), 2023, v. 16, n. 8, p. 3522, doi. 10.3390/en16083522
- By:
- Publication type:
- Article
34
Prediction Error-Based Power Forecasting of Wind Energy System Using Hybrid WT–ROPSO–NARMAX Model.
- Published in:
- Energies (19961073), 2023, v. 16, n. 7, p. 3295, doi. 10.3390/en16073295
- By:
- Publication type:
- Article
35
Multiple Novel Decomposition Techniques for Time Series Forecasting: Application to Monthly Forecasting of Electricity Consumption in Pakistan.
- Published in:
- Energies (19961073), 2023, v. 16, n. 6, p. 2579, doi. 10.3390/en16062579
- By:
- Publication type:
- Article
36
Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms.
- Published in:
- Energies (19961073), 2023, v. 16, n. 5, p. 2283, doi. 10.3390/en16052283
- By:
- Publication type:
- Article
37
Developing Feedforward Neural Networks as Benchmark for Load Forecasting: Methodology Presentation and Application to Hospital Heat Load Forecasting.
- Published in:
- Energies (19961073), 2023, v. 16, n. 4, p. 2026, doi. 10.3390/en16042026
- By:
- Publication type:
- Article
38
Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge †.
- Published in:
- Energies (19961073), 2023, v. 16, n. 3, p. 1050, doi. 10.3390/en16031050
- By:
- Publication type:
- Article
39
Short-Term and Medium-Term Electricity Sales Forecasting Method Based on Deep Spatio-Temporal Residual Network.
- Published in:
- Energies (19961073), 2022, v. 15, n. 23, p. 8844, doi. 10.3390/en15238844
- By:
- Publication type:
- Article
40
Forecasting Short-Term Electricity Load Using Validated Ensemble Learning.
- Published in:
- Energies (19961073), 2022, v. 15, n. 22, p. 8567, doi. 10.3390/en15228567
- By:
- Publication type:
- Article
41
A Review of Auto-Regressive Methods Applications to Short-Term Demand Forecasting in Power Systems.
- Published in:
- Energies (19961073), 2022, v. 15, n. 18, p. 6729, doi. 10.3390/en15186729
- By:
- Publication type:
- Article
42
State-of-the-Art Using Bibliometric Analysis of Wind-Speed and -Power Forecasting Methods Applied in Power Systems.
- Published in:
- Energies (19961073), 2022, v. 15, n. 18, p. 6545, doi. 10.3390/en15186545
- By:
- Publication type:
- Article
43
The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting.
- Published in:
- Energies (19961073), 2022, v. 15, n. 16, p. 5838, doi. 10.3390/en15165838
- By:
- Publication type:
- Article
44
Reduction of Computational Burden and Accuracy Maximization in Short-Term Load Forecasting.
- Published in:
- Energies (19961073), 2022, v. 15, n. 10, p. N.PAG, doi. 10.3390/en15103670
- By:
- Publication type:
- Article
45
Parameter Evaluation in Motion Estimation for Forecasting Multiple Photovoltaic Power Generation.
- Published in:
- Energies (19961073), 2022, v. 15, n. 8, p. 2855, doi. 10.3390/en15082855
- By:
- Publication type:
- Article
46
Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model.
- Published in:
- Energies (19961073), 2022, v. 15, n. 6, p. 2158, doi. 10.3390/en15062158
- By:
- Publication type:
- Article
47
Short- and Very Short-Term Firm-Level Load Forecasting for Warehouses: A Comparison of Machine Learning and Deep Learning Models.
- Published in:
- Energies (19961073), 2022, v. 15, n. 3, p. 750, doi. 10.3390/en15030750
- By:
- Publication type:
- Article
48
A Quantile Regression Random Forest-Based Short-Term Load Probabilistic Forecasting Method.
- Published in:
- Energies (19961073), 2022, v. 15, n. 2, p. 663, doi. 10.3390/en15020663
- By:
- Publication type:
- Article
49
Short-Term Forecasting of Wind Energy: A Comparison of Deep Learning Frameworks.
- Published in:
- Energies (19961073), 2021, v. 14, n. 23, p. 7943, doi. 10.3390/en14237943
- By:
- Publication type:
- Article
50
Stacking Ensemble Methodology Using Deep Learning and ARIMA Models for Short-Term Load Forecasting.
- Published in:
- Energies (19961073), 2021, v. 14, n. 21, p. 7378, doi. 10.3390/en14217378
- By:
- Publication type:
- Article