Methods, systems, and computer program products for cognitive disambiguation of problem-solving tasks involving a power grid are provided herein. A computer-implemented method includes capturing user feedback pertaining to relevance of remote terminal unit measurements related to a grid event through user interface interactions carried out by the user, wherein the user interface is communicatively linked to at least one computing device; automatically inferring rules related to the grid event to curate remote terminal unit measurements across iterations of analysis by recognizing irrelevant data and/or distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; and outputting candidate solutions to a problem-solving task involving the grid based on the inferred rules, wherein said outputting is carried out by the at least one computing device.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method, comprising: capturing user feedback pertaining to relevance of one or more remote terminal unit measurements related to a grid event through one or more user interface interactions carried out by the user, wherein the user interface is communicatively linked to at least one computing device; automatically inferring one or more rules related to the grid event to curate remote terminal unit measurements across one or more iterations of analysis by recognizing one or more items of irrelevant data and/or one or more distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; and outputting one or more candidate solutions to a problem-solving task involving the grid based on the one or more inferred rules, wherein said outputting is carried out by the at least one computing device. 2. The computer-implemented method of claim 1, comprising: augmenting one or more cognitive capabilities of the user for curating one or more rules to update a knowledge base by inferring one or more new rules based on the one or more user interface interactions. 3. The computer-implemented method of claim 1, comprising: logging the user feedback in a memory communicatively linked to the at least one computing device. 4. The computer-implemented method of claim 1, comprising: outputting the one or more inferred rules for user validation via the user interface. 5. The computer-implemented method of claim 4, comprising: updating a knowledge base with the one or more inferred rules subsequent to the user validation. 6. The computer-implemented method of claim 1, wherein said user feedback comprises turning off one or more measurements displayed via the user interface. 7. The computer-implemented method of claim 1, wherein said automatically inferring comprises mapping the user feedback to one or more items of stored information. 8. The computer-implemented method of claim 7, wherein the one or more items of stored information comprise one or more logical assertions, each of which expresses semantics of user intention associated with user feedback captured via the user interface. 9. The computer-implemented method of claim 8, comprising: combining the one or more logical assertions with one or more situational assertions specific to the grid event. 10. The computer-implemented method of claim 1, wherein said automatically inferring comprises automatically inferring the one or more rules across multiple iterations of the problem-solving task over multiple grid events. 11. A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to: capture user feedback pertaining to relevance of one or more remote terminal unit measurements related to a grid event through one or more user interface interactions carried out by the user, wherein the user interface is communicatively linked to at least one computing device; automatically infer one or more rules related to the grid event to curate remote terminal unit measurements across one or more iterations of analysis by recognizing one or more items of irrelevant data and/or one or more distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; and output one or more candidate solutions to a problem-solving task involving the grid based on the one or more inferred rules, wherein said outputting is carried out by the at least one computing device. 12. The computer program product of claim 11, wherein said automatically inferring comprises mapping the user feedback to one or more items of stored information, wherein the one or more items of stored information comprise one or more logical assertions that each express semantics of user intention associated with user feedback captured via the user interface. 13. The computer program product of claim 12, wherein the program instructions executable by a computing device further cause the computing device to: combine the one or more logical assertions with one or more situational assertions specific to the grid event. 14. A system comprising: a memory; and at least one processor coupled to the memory and configured for: capturing user feedback pertaining to relevance of one or more remote terminal unit measurements related to a grid event through one or more user interface interactions carried out by the user, wherein the user interface is communicatively linked to at least one computing device; automatically inferring one or more rules related to the grid event to curate remote terminal unit measurements across one or more iterations of analysis by recognizing one or more items of irrelevant data and/or one or more distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; and outputting one or more candidate solutions to a problem-solving task involving the grid based on the one or more inferred rules, wherein said outputting is carried out by the at least one computing device. 15. A computer-implemented method for use with a user interface to be used in one or more problem-solving tasks, comprising: capturing user feedback pertaining to relevance of one or more remote terminal unit measurements related to a grid event through one or more user interactions performed on the user interface, wherein the user interface is communicatively linked to at least one computing device; automatically inferring one or more rules related to the grid event to curate remote terminal unit measurements across one or more iterations of analysis by recognizing one or more items of irrelevant data and/or one or more distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; outputting the one or more inferred rules for user validation via the user interface; outputting one or more candidate solutions to one of the one or more problem-solving tasks based on the one or more inferred rules subsequent to the user validation, wherein said outputting is carried out by the at least one computing device; and storing the one or more inferred rules, subsequent to the user validation, in a knowledge base communicatively linked to the at least one computing device. 16. The computer-implemented method of claim 15, comprising: augmenting one or more cognitive capabilities of the user for curating one or more rules to update a knowledge base by inferring one or more new rules based on the one or more user interface interactions. 17. The computer-implemented method of claim 15, wherein said automatically inferring comprises mapping the user feedback to one or more items of stored information. 18. The computer-implemented method of claim 17, wherein the one or more items of stored information comprise one or more logical assertions that each express semantics of user intention associated with user feedback captured via the user interface. 19. The computer-implemented method of claim 18, comprising: combining the one or more logical assertions with one or more situational assertions specific to the grid event. 20. The computer-implemented method of claim 15, wherein said automatically inferring comprises automatically inferring the one or more rules across multiple iterations of the problem-solving task over multiple grid events.