Data Mining and Machine Learning in Building Energy Analysis

Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.

《建築能源分析的人工智慧》專注於最新的人工智慧模型，以解決建築能源問題。本書回顧了最近開發的模型，包括詳細和簡化的工程方法、統計方法和人工智慧方法，並模擬了單一和多個建築物的能源消耗情況。基於這些數據集，使用支持向量機（SVM）模型進行訓練和測試以進行預測。本書適合初學者、中級讀者和高級讀者閱讀，是建築設計師、工程師和學生的重要資源。