; (ii) whether the methods used to determine future transmission and capacity needs and make reliability-related determinations use the right data to adequately forecast and model the integration of advanced energy technology into electric power systems; (iii) whether the modeling and planning practices described in clause (i) and the methods described in clause (ii) need to be updated to better account for the integration of advanced energy technology into electric power systems; (iv) any undue barriers to the adoption of advanced energy technology presented by— (I) existing modeling, operational, and planning practices; and (II) State estimation tools for planning and reliability; (v) any need to develop emerging technologies or software for use in improving modeling, planning, and operations in wholesale electricity markets to resolve computational or technical barriers to the adoption of advanced energy technology, including software relating to— (I) the use of big data, artificial intelligence, and probabilistic methods to predict, in near real-time— (aa) energy generation from variable and distributed resources; (bb) load profiles; and (cc) consumption and congestion; and (II) the use of artificial intelligence to improve the responsiveness of energy system operations; (vi) whether existing and future grid reliability service definitions and the modeling techniques, operational processes, and planning processes used to procure grid reliability services— (I) appropriately account for the technical and operational characteristics of advanced energy technologies; (II) allow for the use of those advanced energy technologies to provide grid reliability services when cost-effective to do so; and (III) include appropriate cybersecurity safeguards