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The objective of this paper is the identification of the variables which affect the acceptation by the students of two kinds of remote laboratories (photovoltaic panels and electric machines) in Higher Education. To achieve it, the Technology Acceptation Model is used and usability and usefulness are the considered factors. Two pilot experiences are carried out over a sample of 86 students which are studying the Energy Engineering Degree. 45 of them (52.3%) carry out the electric machines lab class and 41 (47.7%) the photovoltaic one. After a descriptive analysis, an exploratory and multivariate analysis is carried out. It allows the identification of relations between several variables which affect to the acceptation of both remote labs.