; (B) providing real-time or near-time awareness of the risks posed by wildland fires to the operation of energy infrastructure in affected and potentially affected areas, including by leveraging the Department’s high-performance computing capabilities and climate and ecosystem models; (C) enabling early detection of, and assessment of competing technologies and strategies for addressing, malfunctioning electrical equipment on the transmission and distribution grid, including spark ignition causing wildland fires; (D) assisting with the planning, safe execution of, and safe and timely restoration of power after emergency power shut offs following wildland fires started by grid infrastructure; (E) improving electric grid and energy sector safety and resilience in the event of multiple simultaneous or co-located weather or climate events leading to extreme conditions, such as extreme wind, wildland fires, extreme cold, and extreme heat; and (F) improving coordination between utilities and relevant Federal agencies to enable communication, information-sharing, and situational awareness in the event of wildland fires that impact the electric grid; (2) coordinate data and computational resources across relevant entities to improve our understanding of wildland fires and to promote resilience and wildland fire prevention in the planning, design, construction, operation, and maintenance of transmission infrastructure; (3) consider optimal building energy efficiency and weatherization practices, as practicable, in wildland fire research; (4) utilize the Department of Energy’s National Laboratory capabilities, including user facilities, earth and environmental systems modeling resources, and high-performance computing and data analytics capabilities, to improve the accuracy of efforts to understand and predict wildland fire behavior and occurrence and mitigate wildland fire impacts