过去一年中添加的文章，按日期排序
Weather-Informed Forecasting for Time Series Optimal Power Flow of Transmission Systems with Large Renewable Share
A Unlu, SA Dorado-Rojas, M Pena, Z Wang - IEEE Access, 2024 - ieeexplore.ieee.org
26 天前 - … Forecasts are made using a data-driven neural network technique that accounts for
the weather conditions … convolutional neural networks (CNNs) and long-short term memory (…
the weather conditions … convolutional neural networks (CNNs) and long-short term memory (…
Short time load forecasting for Urmia city using the novel CNN-LTSM deep learning structure
YK Ahranjani, M Beiraghi, R Ghanizadeh - Electrical Engineering, 2024 - Springer
75 天前 - … upcoming weather conditions and … neural network for multi-short-term load
forecasting. Reference [19] worked on hourly electricity load forecasting in smart grids using deep …
forecasting. Reference [19] worked on hourly electricity load forecasting in smart grids using deep …
Load Profile Forecasting of Manufacturing Processes with a Data-Driven Model
S Howind - 2024 - repositum.tuwien.at
102 天前 - … is subject to changing weather conditions. Besides … Term Memory-Sequence-to-Sequence
architecture generally showedthe best prediction accuracy while the Neural Network …
architecture generally showedthe best prediction accuracy while the Neural Network …
Quantum time series forecasting
P Gohel, M Joshi - Sixteenth International Conference on …, 2024 - spiedigitallibrary.org
111 天前 - … memory (QLSTM) neural network to forecast time series data. … conditions ie, wind
speed, wind direction, minimum and … The test RMSE comparison for electric load forecasting …
speed, wind direction, minimum and … The test RMSE comparison for electric load forecasting …
Assessment of Urban Microclimate and Its Impact on Outdoor Thermal Comfort and Building Energy Performance
S Yang - 2024 - spectrum.library.concordia.ca
193 天前 - … An artificial neural network (ANN) model is also presented … on long-term
measurements from local weather stations near … Accurate prediction of local weather conditions …
measurements from local weather stations near … Accurate prediction of local weather conditions …
On-grid and off-grid photovoltaic systems forecasting using a hybrid meta-learning method
196 天前 - … on the weather conditions [9]. … Neural Networks (CNN), using both univariate and
multivariate data sets depending on the availability and relevance of the weather data forecast…
multivariate data sets depending on the availability and relevance of the weather data forecast…
Enhancing Short-term Electric Load Forecasting with EMD-GA Optimized LSTM
L Yihan, H Liang, M Ruiqi - 2023 6th International Conference …, 2023 - ieeexplore.ieee.org
242 天前 - … Inputs include weather conditions, temperature, hourly weights, and date … a neural
network comprising LSTM layers and output layers. We then train the model using the time …
network comprising LSTM layers and output layers. We then train the model using the time …
A Comprehensive Review Of Load Demand Forecasting And Optimal Sizing In Stand Alone Hybrid Renewable Energy Systems
VR Remya, SAJ Mary - 2023 Annual International Conference …, 2023 - ieeexplore.ieee.org
250 天前 - … that affect load demand, including as weather conditions, … of short-term load
forecasting (STLF) is to forecast the … This comprises AI approaches like artificial neural networks (…
forecasting (STLF) is to forecast the … This comprises AI approaches like artificial neural networks (…
Multiple Feature Extraction Long Short-Term Memory Using Skip Connections for Ship Electricity Forecasting
JY Kim, JS Oh - Journal of Marine Science and Engineering, 2023 - mdpi.com
331 天前 - … The second factor is weather conditions. Wind direction and wind speed have a …
Short-term load forecasting for commercial buildings using 1D convolutional neural networks. In …
Short-term load forecasting for commercial buildings using 1D convolutional neural networks. In …