WEICan will hold the must-attend Spring 2025 Meeting as a hybrid event, hosted by Dalhousie University on April 29-30, 2025. This event, supported by Natural Resources Canada, is the premier conference to bring together researchers, industry players, and policy makers dedicated to driving the development and growth of wind energy in Canada. If logistical support in travelling to or registering for this event is needed, please contact us.

For the Spring 2025 meeting, we will be accepting abstracts on wind energy research topics including:

• Cold Climate
• Wind turbines can face challenges in cold climates, such as ice accumulation resulting in reduced power output and increased rotor loads, cold weather shutdowns to prevent equipment failure, and limited maintenance access. Cold climate wind energy research analyzes the impact of cold climate operation on Canadian wind energy generation and supports the development of solutions to improve cold weather performance.
• Offshore Wind
• There is significant potential for offshore wind energy in Canada. Offshore wind energy research helps the industry overcome key barriers to offshore wind development, including the relatively high cost of energy, mitigation of environmental impacts, technical challenges of project installation and maintenance, and grid interconnection.
• Grid Integration

• As the share of non-synchronous renewable generators, such as wind, increases on the electric grid, they introduce operational challenges. The variable nature of wind makes its generation inherently unpredictable. Additionally, these renewable sources often replace conventional power plants, which have historically supplied essential ancillary services. Research on wind energy grid integration focuses on understanding the financial and technical impacts of these challenges and developing innovative solutions to address them.

• Forecasting
• Wind power generation is directly linked to weather conditions and, thus, it is essential to predict future values of the necessary weather variables. Forecasting that is integrated into energy management systems is increasingly valuable to electric power system operators. Research in wind energy forecasting includes machine learning capabilities and data analytics for generating short-term forecasts, simulating transmission systems and better understanding the value of accurate forecasting, and wind power visualization.

Please Submit your abstracts by March 14, 2025. If you are researching wind energy and your research area is not represented at our Spring and Fall meetings, you are welcome to suggest a new topic.

100-250 words including the wind energy topic and names and affiliations of all authors

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