인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Lightning strikes, snow, and wind are common causes of power system failures. Their frequency of occurrence varies depending on weather patterns and seasons. Here, we analyse the occurrence of thirty pre-defined daily weather patterns along with nearly 70,000 power system failures in the United Kingdom between 2010 and 2019 to investigate the predictability of weather-induced power outages. We identify high-risk weather patterns and pattern transitions for all seasons. Winter weather patterns characterized by high wind speeds and high precipitation volumes are responsible for many instances of power outages caused by wind, gale, and lightning strikes. Weather patterns with moderate to high snowfall are often linked to power outages caused by snow and ice. Because high-risk weather patterns can be forecast reliably with valuable lead time, clear links between specific patterns and transitions can significantly improve the preparedness of the United Kingdom and broader European distribution network operators for adverse weather conditions.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.