Short-term building electrical energy consumption forecasting by employing gene expression programming and GMDH networks
Over the past decade, energy forecasting applications not only on the grid side of electric
power systems but also on the customer side for load and demand prediction purposes have …
power systems but also on the customer side for load and demand prediction purposes have …
A benchmark of GRU and LSTM networks for short-term electric load forecasting
K Zor, K Buluş - … Conference on Innovation and Intelligence for …, 2021 - ieeexplore.ieee.org
Recently, electric power systems have been modernised to be integrated with distributed
energy systems having intermittent characteristics. Herein, short-term electric load …
energy systems having intermittent characteristics. Herein, short-term electric load …
A hybrid deep learning algorithm for short-term electric load forecasting
K Buluş, K Zor - 2021 29th Signal Processing and …, 2021 - ieeexplore.ieee.org
Over the last two decades, electric load forecasting has strengthened its significant role in
electric power systems due to equalising the vital balance between generation and …
electric power systems due to equalising the vital balance between generation and …
Very Short-Term Reactive Power Forecasting Using Machine Learning-Based Algorithms
GG Tolun, K Zor - 2024 9th International Youth Conference on …, 2024 - ieeexplore.ieee.org
The growing popularity of microgrids and distributed generation has encouraged further
research into the accurate regulation of the electrical grid, especially with consideration to …
research into the accurate regulation of the electrical grid, especially with consideration to …
[PDF][PDF] SHORT-TERM NONINDUSTRIAL REACTIVE POWER FORECASTING
In recent years, energy forecasting applications not only on the grid side of electric power
systems but also on the customer side for load and demand prediction purposes have …
systems but also on the customer side for load and demand prediction purposes have …