Key Drivers in the Adoption of the Demand Response Assessment System for Efficient Energy Management

A zero-carbon emission energy system requires significant indicative shifts in energy production and consumption. Demand Response (DR) is an essential aspect of demand-side management (DSM) in an intelligent grid framework. DR allows customers to reduce electricity costs by adjusting their consumption levels while ensuring system stability. A survey of 409 experienced industrial customers examined factors influencing the adoption of a DR assessment system using the Technology Acceptance Model and the Diffusion of Innovation theory. The results were analyzed using structural equation modeling. The output shows that the independent variables directly and indirectly affect the intention to use the DR assessment system (BI). Perceived usefulness (PU) and attitude towards use (ATU) significantly influence BI. More importantly, relative advantage, compatibility, and perceived ease of use (PEOU) positively influence ATU, and PEOU and ATU directly impact PU. Moreover, non-complexity, trialability, visibility, and compatibility positively impact PEOU. These findings can guide the design and implementation of effective DR programs, promoting energy efficiency, grid stability, and long-term economic benefits for Commercial and industrial customers.