Technological transformation is an effective means to ensure the safe and reliable operation of equipment assets of power grid enterprises. Due to the wide variety of equipment and large capital investment in the power grid production technological transformation project, the completion final account often exceeds the initial budget estimate during the implementation of the project transformation. To this end, based on the linear regression analysis method, this article uses a sample of 300 technological transformation projects collected by a provincial power grid company to divide the project cost into construction costs, installation costs, equipment purchase costs, other costs, and static costs according to cost types. In terms of investment and other dimensions, it analyzes and predicts the current situation of project cost control effects, from the aspects of regularity and volatility, and discovers the final accounts of completion, initial estimates, total investment, and cost levels and changes of various sub-items. Through the establishment of regression models, we have better prediction results for the cost of different power grid technical renovation projects, effectively realizing reasonable control of the cost of power grid technical renovation projects, reducing the situation of settlement exceeding the budget, and strengthening the lean management of technical renovation project costs.
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