Energy storage behind-the-meter with renewable generators: Techno-economic value of optimal imbalance management

V Trovato, B Kantharaj - International Journal of Electrical Power & Energy …, 2020 - Elsevier
There is a growing body of evidence that energy storage systems can provide significant
flexibility to the electricity grid. This study introduces a system comprising an energy storage …

Wind power prediction based on deep learning models: The case of Adama wind farm

SM Ayene, AM Yibre - Heliyon, 2024 - cell.com
Wind is a renewable energy source that is used to generate electricity. Wind power is one of
the suitable solutions for global warming since it is free from pollution, doesn't cause …

Application of machine learning for optimal wind farm location

U Shahzad - Journal of Electrical Engineering, Electronics, Control …, 2021 - jeeeccs.net
Presence of renewable sources of energy in power systems is vital to cope the negative
impacts of environmental climate change. The drift in autonomous power network situations …

Hybrid approach for short term wind power forecasting

V Reddy, SM Verma, K Verma… - 2018 9th International …, 2018 - ieeexplore.ieee.org
Wind is one of the most important parts of renewable energy sources and optimal
scheduling of wind power in wind farms is essential. Therefore, accurate prediction is a …

Characterizing wind power forecast error using extreme value theory and copulas

N Mararakanye, A Dalton, B Bekker - IEEE Access, 2022 - ieeexplore.ieee.org
Wind energy is one of the fastest-growing renewable energy sources in the world. However,
wind power is variable in all timescales. This variability is difficult to predict with perfect …

Integrated Machine Learning and Enhanced Statistical Approach‐Based Wind Power Forecasting in Australian Tasmania Wind Farm

F Yao, W Liu, X Zhao, L Song - Complexity, 2020 - Wiley Online Library
This paper develops an integrated machine learning and enhanced statistical approach for
wind power interval forecasting. A time‐series wind power forecasting model is formulated …

Economic and financial benefits for wind turbines providing frequency response exploiting the kinetic energy or operating part‐loaded

V Trovato, D Conenna, M Dicorato… - IET Generation …, 2020 - Wiley Online Library
This work assesses the financial viability of a wind farm where turbines are equipped to
provide frequency services. Two control strategies are compared: the former enables the …

[KSIĄŻKA][B] Contribution of Demand Side Management to Angular and Frequency Stability of Transmission Networks

M Wang - 2022 - search.proquest.com
Demand side management (DSM) has become one of the most popular solutions to
enhance and improve operational flexibility of future power systems, which are …

Analysis of Fuzzy Logic, ANN and ANFIS based Models for the Forecasting of Wind Power

U Singh, M Rizwan - 2018 2nd IEEE International Conference …, 2018 - ieeexplore.ieee.org
Wind Energy Conversion System (WECS) is growing rapidly as one of the most beneficial
renewable energy sources available worldwide. The role of WECS is very essential in …

Short-term forecast analysis on wind power generation data

AS Nair, P Ranganathan, C Finley… - 2021 IEEE Kansas …, 2021 - ieeexplore.ieee.org
The forecasting of Wind power generation plays a critical role in the safe and stable
operation of a power grid. Grid operators rely on the short-term forecasts of load and …