A review on the selected applications of forecasting models in renewable power systems

A Ahmed, M Khalid - Renewable and Sustainable Energy Reviews, 2019 - Elsevier
This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

Y Hao, C Tian - Applied energy, 2019 - Elsevier
With the fast growth of wind power penetration into the electric grid, wind power forecasting
plays an increasingly significant role in the secure and economic operation of power …

Life cycle assessment of onshore and offshore wind energy-from theory to application

A Bonou, A Laurent, SI Olsen - Applied Energy, 2016 - Elsevier
This study aims to assess the environmental impacts related to the provision of 1 kWh to the
grid from wind power in Europe and to suggest how life cycle assessment can inform …

Coordinated operation of electric vehicle charging and wind power generation as a virtual power plant: A multi-stage risk constrained approach

MH Abbasi, M Taki, A Rajabi, L Li, J Zhang - Applied Energy, 2019 - Elsevier
As the number of electric vehicles (EVs) is steadily increasing, their aggregation can offer
significant storage to improve the electric system operation in many aspects. To this end, a …

Scheduling of wind-battery hybrid system in the electricity market using distributionally robust optimization

X Xu, W Hu, D Cao, Q Huang, Z Liu, W Liu, Z Chen… - Renewable Energy, 2020 - Elsevier
With the liberation of the electricity market, a growing number of investors participate in
market bidding. However, due to the inaccurate prediction of wind power, the interest of the …

An intelligent framework for short-term multi-step wind speed forecasting based on Functional Networks

A Ahmed, M Khalid - Applied energy, 2018 - Elsevier
This paper presents a novel method for the development of multi-step wind forecasting
models based on functional network (FN), a modern intelligent paradigm. The basis of FN …

A novel clustering algorithm based on mathematical morphology for wind power generation prediction

Y Hao, L Dong, X Liao, J Liang, L Wang, B Wang - Renewable energy, 2019 - Elsevier
Wind power has the characteristic of daily similarity. Furthermore, days with wind power
variation trends reflect similar meteorological phenomena. Therefore, wind power prediction …

Risk-based probabilistic-possibilistic self-scheduling considering high-impact low-probability events uncertainty

H Khaloie, A Abdollahi, M Rashidinejad… - International Journal of …, 2019 - Elsevier
In recent years, examining the ruinous consequence of extreme weather events on the
power system is one of the most challenging issues that researchers have confronted to …

Intraday wind power forecasting employing feedback mechanism

A Gupta, A Kumar, K Boopathi - Electric Power Systems Research, 2021 - Elsevier
The increasing thrust of the world to reduce the dependency on the fossil fuel-based sources
has given rise to the high penetration of Renewable Energy Sources (RES). The major RES …

Impact of public aggregate wind forecasts on electricity market outcomes

L Exizidis, J Kazempour, P Pinson… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Following a call to foster a transparent and more competitive market, member states of the
European transmission system operator are required to publish, among other information …