Bi-LSTM-Based Deep Stacked Sequence-to-Sequence Autoencoder for Forecasting Solar Irradiation and Wind Speed
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Abstract
Wind and solar energy are two popular forms of renewable energy used in microgrids and facilitating the transition towards net-zero carbon emissions by 2050. However, they are exceedingly unpredictable since they rely highly ... | Find, read and cite all the research you need on Tech Science Press
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Research context
OpenAlex topics: Energy Load and Power Forecasting · Solar Radiation and Photovoltaics · Wind Energy Research and Development
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (56)
Show source-provided references
1. Microgrids energy management systems: A critical review on methods, solutions, and prospects10.1016/j.apenergy.2018.04.103 ↗
2. Water-energy-ecosystem nexus: Balancing competing interests at a run-of-river hydropower plant coupling a hydrologic-ecohydraulic approach10.1016/j.enconman.2020.113267 ↗
3. Flow regime aspects in determining environmental flows and maximising energy production at run-of-river hydropower plants10.1016/j.apenergy.2019.113980 ↗
4. Optimisation of cascade reservoir operation considering environmental flows for different environmental management classes10.1016/j.renene.2020.05.161 ↗
5. Q. Qdr, “Benefits of demand response in electricity markets and recommendations for achieving them,” US Dept. Energy, Washington, DC, USA, Tech. Rep, 2006.
6. An innovative optimal RPO-FOSMC based on multi-objective grasshopper optimization algorithm for DFIG-based wind turbine to augment MPPT and FRT capabilities10.1016/j.chaos.2019.109407 ↗
7. An optimal second-order sliding mode based inter-area oscillation suppressor using chaotic whale optimization algorithm for doubly fed induction generator10.1002/jnm.2963 ↗
8. Energy storage benefits assessment using multiple-choice criteria: The case of Drini River Cascade, Albania10.3390/en15114032 ↗
9. Characterization of demand response in the commercial, industrial, and residential sectors in the United States10.1002/9781119508311.ch25 ↗
10. Machine learning, deep learning and statistical analysis for forecasting building energy consumption—A systematic review10.1016/j.engappai.2022.105287 ↗
11. An efficient optimization approach for designing machine learning models based on genetic algorithm10.1007/s00521-020-05035-x ↗
12. Alloghani · Supervised and Unsupervised Learning for Data Science · 2020 · 310.1007/978-3-030-22475-2_1 ↗
13. An introductory review of deep learning for prediction models with big data
14. Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting10.1016/j.eswa.2021.114844 ↗
15. A robust auto encoder-gated recurrent unit (AE-GRU) based deep learning approach for short term solar power forecasting10.1016/j.ijleo.2021.168515 ↗
16. Semisupervised multilabel deep learning based nonintrusive load monitoring in smart grids10.1109/TII.2019.2955470 ↗
17. Prediction of solar irradiance over the Arabian Peninsula: Satellite data, radiative transfer model, and machine learning integration approach10.3390/app12020717 ↗
18. An artificial neural network-based forecasting model of energy-related time series for electrical grid management10.1016/j.matcom.2020.05.010 ↗
19. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer10.1016/j.asoc.2020.106996 ↗
20. Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms10.1016/j.apenergy.2019.113541 ↗
21. A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and differential evolution algorithm10.1016/j.enconman.2018.07.070 ↗
22. EEMD-based wind speed forecasting system using bidirectional LSTM networks
23. A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions10.1016/j.energy.2020.117239 ↗
24. Long short-term memory model for time series prediction and forecast of solar radiation and other weather parameters
25. Impact of COVID-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with bidirectional long short term memory
26. Time series ARIMA model for prediction of daily and monthly average global solar radiation: The case study of Seoul, South Korea10.3390/sym11020240 ↗
27. Hourly predictions of direct normal irradiation using an innovative hybrid LSTM model for concentrating solar power projects in hyper-arid regions10.1016/j.egyr.2022.10.402 ↗
28. Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia
29. Deep learning models for solar irradiance forecasting: A comprehensive review10.1016/j.jclepro.2021.128566 ↗
30. A review on global solar radiation prediction with machine learning models in a comprehensive perspective10.1016/j.enconman.2021.113960 ↗
31. Short-term wind speed prediction based on MLP and NARX networks models10.11591/ijeecs.v18.i1.pp150-157 ↗
32. Wind speed prediction of IPSO-BP neural network based on lorenz disturbance10.1109/ACCESS.2018.2869981 ↗
33. Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer10.1371/journal.pone.0196871 ↗
34. Wind speed and solar irradiance prediction using advanced neuro-fuzzy inference system
35. Short term solar insolation prediction: P-ELM approach10.1080/17445760.2017.1404601 ↗
36. A comparative assessment of predicting daily solar radiation using bat neural network (BNN), generalized regression neural network (GRNN), and neuro-fuzzy (NF) system: A case study10.3390/en11051188 ↗
37. Application of DBN for estimating daily solar radiation on horizontal surfaces in Lhasa, China10.1016/j.egypro.2019.01.034 ↗
38. Comparative analysis of wind speed forecasting using LSTM and SVM
39. Application of support vector machine models for forecasting solar and wind energy resources: A review10.1016/j.jclepro.2018.07.164 ↗
40. A comparative analysis of tree-based models for day-ahead solar irradiance forecasting
41. Forecasting of wind speed in Malang City of Indonesia using adaptive neuro-fuzzy inference system and autoregressive integrated moving average methods
42. Wind speed prediction based on univariate ARIMA and OLS on the Colombian Caribbean coast10.25103/jestr.133.22 ↗
43. Prediction and estimation of solar radiation using artificial neural network (ANN) and fuzzy system: A comprehensive review10.1007/s42108-021-00113-9 ↗
44. Smartphone motion sensor-based complex human activity identification using deep stacked autoencoder algorithm for enhanced smart healthcare system
45. De-noising drift chambers in CLAS12 using convolutional auto encoders10.1016/j.cpc.2021.108201 ↗
46. Optimal deep learning lstm model for electric load forecasting using feature selection and genetic algorithm: Comparison with machine learning approaches10.3390/en11071636 ↗
47. Short-term power load forecasting based on multi-layer bidirectional recurrent neural network10.1049/iet-gtd.2018.6687 ↗
48. Learning phrase representations using RNN encoder-decoder for statistical machine translation
49. Research on short-term load prediction based on Seq2seq model10.3390/en12163199 ↗
50. A novel time series based Seq2Seq model for temperature prediction in firing furnace process10.1016/j.procs.2019.08.007 ↗
51. Automatic tuning of hyperparameters using Bayesian optimization10.1007/s12530-020-09345-2 ↗
52. An experimental study on hyper-parameter optimization for stacked auto-encoders
53. Activation functions in deep learning: A comprehensive survey and benchmark10.1016/j.neucom.2022.06.111 ↗
54. D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv: 1412. 6980, 2014.
55. NREL Solar radiation research laboratory (SRRL): Baseline measurement system (BMS); Golden, Colorado (Data); NREL Report No. DA-5500-5648810.5439/1052221 ↗
56. Design and control of magnetic levitation system by optimizing fractional order PID controller using ant colony optimization algorithm10.1109/ACCESS.2020.3004025 ↗