scholarly journals Advanced Intelligent Technologies in Energy Forecasting and Economical Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-2
Author(s):  
Wei-Chiang Hong ◽  
Dongxiao Niu ◽  
Yinfeng Xu ◽  
Mengjie Zhang ◽  
Pradeep Kumar Singh
Keyword(s):  
Energy Forecasting

YEAR-ROUND SOLAR ENERGY FORECASTING AND STORAGE PREDICTION FOR NON-INTERRUPTED POWER SUPPLY

2019 ◽  
Author(s):  
Yasir M. Alfulayyih ◽  
Peiwen Li ◽  
Xiankun Xu
Keyword(s):  
Solar Energy ◽  
Power Supply ◽  
Energy Forecasting ◽  
And Storage

scholarly journals A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid

Cybersecurity ◽  
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Raphael Anaadumba ◽  
Qi Liu ◽  
Bockarie Daniel Marah ◽  
Francis Mawuli Nakoty ◽  
Xiaodong Liu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Mobile Devices ◽  
Prediction Models ◽  
Renewable Energy Sources ◽  
Electrical Network ◽  
Effective Control ◽  
Energy Sources ◽  
Forecasting Model ◽  
Communication Overhead ◽  
Energy Forecasting

AbstractEnergy forecasting using Renewable energy sources (RESs) is gradually gaining weight in the research field due to the benefits it presents to the modern-day environment. Not only does energy forecasting using renewable energy sources help mitigate the greenhouse effect, it also helps to conserve energy for future use. Over the years, several methods for energy forecasting have been proposed, all of which were more concerned with the accuracy of the prediction models with little or no considerations to the operating environment. This research, however, proposes the uses of Deep Neural Network (DNN) for energy forecasting on mobile devices at the edge of the network. This ensures low latency and communication overhead for all energy forecasting operations since they are carried out at the network periphery. Nevertheless, the cloud would be used as a support for the mobile devices by providing permanent storage for the locally generated data and a platform for offloading resource-intensive computations that exceed the capabilities of the local mobile devices as well as security for them. Electrical network topology was proposed which allows seamless incorporation of multiple RESs into the distributed renewable energy source (D-RES) network. Moreover, a novel grid control algorithm that uses the forecasting model to administer a well-coordinated and effective control for renewable energy sources (RESs) in the electrical network is designed. The electrical network was simulated with two RESs and a DNN model was used to create a forecasting model for the simulated network. The model was trained using a dataset from a solar power generation company in Belgium (elis) and was experimented with a different number of layers to determine the optimum architecture for performing the forecasting operations. The performance of each architecture was evaluated using the mean square error (MSE) and the r-square.

scholarly journals Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 33498-33511
Author(s):  
Dabeeruddin Syed ◽  
Haitham Abu-Rub ◽  
Ali Ghrayeb ◽  
Shady S. Refaat
Keyword(s):  
Deep Learning ◽  
Learning Model ◽  
Level Energy ◽  
Energy Forecasting ◽  
Smart Buildings ◽  
Household Level ◽  
Deep Learning Model

scholarly journals Assessing the performance of deep learning models for multivariate probabilistic energy forecasting

2021 ◽  
Vol 285 ◽  
pp. 116405
Author(s):  
Aleksei Mashlakov ◽  
Toni Kuronen ◽  
Lasse Lensu ◽  
Arto Kaarna ◽  
Samuli Honkapuro
Keyword(s):  
Deep Learning ◽  
Learning Models ◽  
Energy Forecasting

Hybrid technique of ant colony and particle swarm optimization for short term wind energy forecasting

2013 ◽  
Vol 123 ◽  
pp. 163-170 ◽  
Author(s):  
Rasoul Rahmani ◽  
Rubiyah Yusof ◽  
Mohammadmehdi Seyedmahmoudian ◽  
Saad Mekhilef
Keyword(s):  
Particle Swarm Optimization ◽  
Wind Energy ◽  
Particle Swarm ◽  
Ant Colony ◽  
Hybrid Technique ◽  
Short Term ◽  
Energy Forecasting ◽  
Swarm Optimization

Wind energy forecasting framework based on new perspective

2021 ◽  
Author(s):  
Jinghui Zhang ◽  
Xiaoyu Shen ◽  
Chunhui Kong ◽  
Yagang Zhang
Keyword(s):  
Wind Energy ◽  
Energy Forecasting ◽  
New Perspective

Comparative Analysis of Predictive Models for Subway Rolling Stock Energy Forecasting

2021 ◽  
Author(s):  
Mircea Stefan Simoiu ◽  
Grigore Stamatescu ◽  
Vasile Calofir ◽  
Ioana Fagarasan ◽  
Sergiu Stelian Iliescu
Keyword(s):  
Comparative Analysis ◽  
Predictive Models ◽  
Rolling Stock ◽  
Energy Forecasting

Medium and Short Term Energy Forecasting using LSTM Neural Network Method for Gujarat State

2021 ◽  
Author(s):  
Ronak Doshi ◽  
Krishna Mridha ◽  
Dinesh Kumar ◽  
Amit Ved
Keyword(s):  
Neural Network ◽  
Short Term ◽  
Gujarat State ◽  
Energy Forecasting ◽  
Neural Network Method ◽  
Network Method ◽  
Term Energy

Failure Mode Prediction and Energy Forecasting of PV Plants to Assist Maintenance Task by ANN Based Models

2019 ◽  
pp. 187-209
Author(s):  
Fernando Olivencia Polo ◽  
Jesús Ferrero Bermejo ◽  
Juan F. Gómez Fernández ◽  
Adolfo Crespo Márquez
Keyword(s):  
Failure Mode ◽  
Energy Forecasting
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