A review of uncertainty modelling techniques for probabilistic stability analysis of renewable-rich power systems
In pursuit of identifying the most accurate and efficient uncertainty modelling (UM)
techniques, this paper provides an extensive review and classification of the available UM …
techniques, this paper provides an extensive review and classification of the available UM …
Evaluation of spatio-temporal forecasting methods in various smart city applications
A Tascikaraoglu - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Together with the increasing population and urbanization, cities have started to face
challenges that hinder their socio-economic and sustainable development. The concept of …
challenges that hinder their socio-economic and sustainable development. The concept of …
Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed …
The accurate forecasting of wind speed plays a vital role in the transformation of wind
energy and the dispatching of electricity. However, the inherent intermittence of wind makes …
energy and the dispatching of electricity. However, the inherent intermittence of wind makes …
Correlation-constrained and sparsity-controlled vector autoregressive model for spatio-temporal wind power forecasting
The ever-increasing number of wind farms has brought both challenges and opportunities in
the development of wind power forecasting techniques to take advantage of …
the development of wind power forecasting techniques to take advantage of …
Deep forecast: Deep learning-based spatio-temporal forecasting
The paper presents a spatio-temporal wind speed forecasting algorithm using Deep
Learning (DL) and in particular, Recurrent Neural Networks (RNNs). Motivated by recent …
Learning (DL) and in particular, Recurrent Neural Networks (RNNs). Motivated by recent …
Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform
Integration of renewable energy resources into the power grid is essential in achieving the
envisioned sustainable energy future. Stochasticity and intermittency characteristics of …
envisioned sustainable energy future. Stochasticity and intermittency characteristics of …
End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts
There is a remarkable potential for implementing demand response (DR) strategies for
several purposes, such as peak load reduction, frequency regulation, etc., by using …
several purposes, such as peak load reduction, frequency regulation, etc., by using …
Short-term residential electric load forecasting: A compressive spatio-temporal approach
A Tascikaraoglu, BM Sanandaji - Energy and Buildings, 2016 - Elsevier
Load forecasting is an essential step in power systems operations with important technical
and economical impacts. Forecasting can be done both at aggregated and stand-alone …
and economical impacts. Forecasting can be done both at aggregated and stand-alone …
Short-term wind power prediction based on spatial model
L Ye, Y Zhao, C Zeng, C Zhang - Renewable Energy, 2017 - Elsevier
Large-scale integration of wind energy into power systems may cause operational problems
due to the stochastic nature of wind. A short-term wind power prediction model based on …
due to the stochastic nature of wind. A short-term wind power prediction model based on …
Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction
The chaos and non-stability of the wind pose challenges for obtaining reliable wind speed
forecasting. Accurate and reliable wind speed forecasting is critical to the efficient and safe …
forecasting. Accurate and reliable wind speed forecasting is critical to the efficient and safe …