電力營(yíng)銷領(lǐng)域中大語言模型的多輪對(duì)話技術(shù)的研究
王江輝1,劉鵬飛2
(1 江蘇方天電力技術(shù)有限公司,江蘇 南京 211102;
2 江蘇思極科技服務(wù)有限公司,江蘇 南京 210024)
摘 要:電力營(yíng)銷領(lǐng)域的多輪對(duì)話技術(shù),旨在提高電力營(yíng)銷效率和用戶滿意度。系統(tǒng)梳理了多輪對(duì)話技術(shù)的相關(guān)理論,闡述了電力營(yíng)銷多輪交互的預(yù)處理模塊總體設(shè)計(jì),介紹了數(shù)據(jù)預(yù)處理模塊的功能及其實(shí)現(xiàn)方法。利用這些模塊,在電力營(yíng)銷領(lǐng)域進(jìn)行了多輪實(shí)證研究,分析了系統(tǒng)實(shí)驗(yàn)結(jié)果,并總結(jié)了多輪對(duì)話技術(shù)在電力行業(yè)的優(yōu)勢(shì),展望了未來的研究方向,希望對(duì)電力營(yíng)銷領(lǐng)域的多輪對(duì)話技術(shù)的發(fā)展提供借鑒。
關(guān)鍵詞: 多輪對(duì)話技術(shù);電力營(yíng)銷;預(yù)處理
中圖分類號(hào):F407.61 ;TP18 文獻(xiàn)標(biāo)識(shí)碼:A 文章編號(hào):1007-3175(2025)01-0072-05
Research on Multi-Round Dialogue Technology of Large Language
Models in the Field of Power Marketing
WANG Jiang-hui1, LIU Peng-fei2
(1 Jiangsu Frontier Electric Technology Co., Ltd, Nanjing 211102, China;
2 Jiangsu Siji Technology Co., Ltd, Nanjing 210024, China)
Abstract: The multi-round dialogue technology in the field of power marketing aims to improve the efficiency of power marketing and user satisfaction. The relevant theories of multi-round dialogue technology are systematically sorted out, the overall design of the preprocessing module for multi-round interaction in power marketing is elaborated, and the functions of the data preprocessing module and its realization methods are introduced. Using these modules, a multi-round empirical study was conducted in the field of electric power marketing,the results of system experiments were analyzed, and the advantages of multi-round dialogue technology in the electric power industry were summarized, and the future research direction was looked forward to, hoping to provide a reference for the development of multi-round dialogue technology in the field of electric power marketing.
Key words: multi-round dialogue technology; power marketing; preprocessing
參考文獻(xiàn)
[1] 曹祎,張莉,郭靜,等. 基于大語言模型的低碳電力市場(chǎng)發(fā)展應(yīng)用前景[J] . 智慧電力,2024,52(2) :8-16.
[2] 于碩,王司宇,王超,等. 類 ChatGPT 大語言模型在電力系統(tǒng)中的應(yīng)用前景[J] . 電氣時(shí)代,2023(10) :50-53.
[3] 馮鈞,暢陽紅,陸佳民,等. 基于大語言模型的水工程調(diào)度知識(shí)圖譜的構(gòu)建與應(yīng)用[J] . 計(jì)算機(jī)科學(xué)與探索,2024,18(6) :1637-1647.
[4] 趙俊華,文福拴,黃建偉,等. 基于大語言模型的電力系統(tǒng)通用人工智能展望:理論與應(yīng)用[J]. 電力系統(tǒng)自動(dòng)化,2024,48(6) :13-28.
[5] 谷奉錦. 基于知識(shí)圖譜的 5G 網(wǎng)絡(luò)故障診斷與分析方法研究[D]. 南京:南京郵電大學(xué),2023.
[6] 潘雨黛,張玲玲,蔡忠閩,等. 基于大規(guī)模語言模型的知識(shí)圖譜可微規(guī)則抽取[J] . 計(jì)算機(jī)科學(xué)與探索,2023,17(10) :2403-2412.