![Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings | Scientific Reports Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings | Scientific Reports](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-022-19935-6/MediaObjects/41598_2022_19935_Fig1_HTML.png)
Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings | Scientific Reports
![Water | Free Full-Text | Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series Water | Free Full-Text | Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series](https://www.mdpi.com/water/water-12-01683/article_deploy/html/images/water-12-01683-g002.png)
Water | Free Full-Text | Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series
Information flow presented in the paper, with the explanation of single... | Download Scientific Diagram
GitHub - vangspiliot/Hybrid-forecasting-method-: Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors
![IJERPH | Free Full-Text | A Hybrid Forecasting Approach to Air Quality Time Series Based on Endpoint Condition and Combined Forecasting Model IJERPH | Free Full-Text | A Hybrid Forecasting Approach to Air Quality Time Series Based on Endpoint Condition and Combined Forecasting Model](https://www.mdpi.com/ijerph/ijerph-15-01941/article_deploy/html/images/ijerph-15-01941-g002.png)
IJERPH | Free Full-Text | A Hybrid Forecasting Approach to Air Quality Time Series Based on Endpoint Condition and Combined Forecasting Model
![Full article: Enhancing supply chain efficiency: a holistic examination of hybrid forecasting models employing mode and PERT technique as deterministic factors Full article: Enhancing supply chain efficiency: a holistic examination of hybrid forecasting models employing mode and PERT technique as deterministic factors](https://www.tandfonline.com/cms/asset/8a5744db-b93d-4b1f-94b3-bdd723cfee88/cjol_a_2280094_f0001_oc.jpg)
Full article: Enhancing supply chain efficiency: a holistic examination of hybrid forecasting models employing mode and PERT technique as deterministic factors
![A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data [PeerJ] A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2022/cs-1001/1/fig-3-full.png)
A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data [PeerJ]
![Forecasting Wind Speed Using A Hybrid Model Of Convolutional Neural Network And Long-Short Term Memory With Boruta Algorithm-Based Feature Selection - Journal of Applied Science and Engineering Forecasting Wind Speed Using A Hybrid Model Of Convolutional Neural Network And Long-Short Term Memory With Boruta Algorithm-Based Feature Selection - Journal of Applied Science and Engineering](http://jase.tku.edu.tw/images/article_images/26/26_8_01.jpg)
Forecasting Wind Speed Using A Hybrid Model Of Convolutional Neural Network And Long-Short Term Memory With Boruta Algorithm-Based Feature Selection - Journal of Applied Science and Engineering
![Hybridization of hybrid structures for time series forecasting: a review | Artificial Intelligence Review Hybridization of hybrid structures for time series forecasting: a review | Artificial Intelligence Review](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs10462-022-10199-0/MediaObjects/10462_2022_10199_Fig2_HTML.png)
Hybridization of hybrid structures for time series forecasting: a review | Artificial Intelligence Review
![Forecasting | Free Full-Text | A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling Forecasting | Free Full-Text | A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling](https://www.mdpi.com/forecasting/forecasting-04-00001/article_deploy/html/images/forecasting-04-00001-g001.png)
Forecasting | Free Full-Text | A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
![Applied Sciences | Free Full-Text | A Hybrid Double Forecasting System of Short Term Power Load Based on Swarm Intelligence and Nonlinear Integration Mechanism Applied Sciences | Free Full-Text | A Hybrid Double Forecasting System of Short Term Power Load Based on Swarm Intelligence and Nonlinear Integration Mechanism](https://www.mdpi.com/applsci/applsci-10-01550/article_deploy/html/images/applsci-10-01550-g001.png)
Applied Sciences | Free Full-Text | A Hybrid Double Forecasting System of Short Term Power Load Based on Swarm Intelligence and Nonlinear Integration Mechanism
![Time-series-based hybrid mathematical modelling method adapted to forecast automotive and medical waste generation: Case study of Lithuania - Aistė Karpušenkaitė, Tomas Ruzgas, Gintaras Denafas, 2018 Time-series-based hybrid mathematical modelling method adapted to forecast automotive and medical waste generation: Case study of Lithuania - Aistė Karpušenkaitė, Tomas Ruzgas, Gintaras Denafas, 2018](https://journals.sagepub.com/cms/10.1177/0734242X18767308/asset/images/large/10.1177_0734242x18767308-fig1.jpeg)
Time-series-based hybrid mathematical modelling method adapted to forecast automotive and medical waste generation: Case study of Lithuania - Aistė Karpušenkaitė, Tomas Ruzgas, Gintaras Denafas, 2018
![Hybridization of hybrid structures for time series forecasting: a review | Artificial Intelligence Review Hybridization of hybrid structures for time series forecasting: a review | Artificial Intelligence Review](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs10462-022-10199-0/MediaObjects/10462_2022_10199_Fig18_HTML.png)
Hybridization of hybrid structures for time series forecasting: a review | Artificial Intelligence Review
![Water | Free Full-Text | Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series Water | Free Full-Text | Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series](https://www.mdpi.com/water/water-12-01683/article_deploy/html/images/water-12-01683-g001.png)
Water | Free Full-Text | Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series
![Energies | Free Full-Text | Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron Energies | Free Full-Text | Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron](https://www.mdpi.com/energies/energies-11-03283/article_deploy/html/images/energies-11-03283-g001.png)