Abstract
With the phased spatial planning of the rural revitalization strategy, the proportion of architecture energy consumption in the overall social energy consumption is also increasing year by year. Considering the hot summer and cold winter areas, the proportion of architecture energy consumption in the total energy consumption is very large. The ecological environment and natural resources have been greatly threatened, and the issue of energy conservation and environmental protection is imminent. Energy consumption prediction and analysis is an important branch of building energy conservation in the field of building technology and science. Aiming at the energy consumption characteristics of rural architectures in areas with hot summer and cold winter, this paper proposes a method for constructing a neural network model. When building a neural network, the dataset is called and the function is applied randomly to training samples. The data are used for simulation tests to analyze the fit between the predicted results and the calculated results. Flexible forecasting of specific target building energy consumption is achieved, which can provide optimization strategies for updating and adjusting architecture energy efficiency design. The experimental analysis benchmark parameters and the output value in the dataset are compared with the target simulation value. The relative error is less than 4%, and the average relative error value (mean) and the root mean square error (RMSE) value are both controlled within 2%. It is proved that the method in this paper can directly reflect the evaluation of energy consumption by the neural network and realize the high-speed conversion of the generalized model to the concrete goal, which has a certain value and research significance.
Highlights
In some areas with hot summer and cold winter, the central heating in the north is not used in winter, the indoor thermal environment is relatively poor, and the heating demand will continue to increase
Climatic Characteristics of Hot Summer and Cold Winter Region. e GB 50176-2016 code for ermal Engineering Design of Civil Buildings divides China’s climate into five regions: very cold, cold, hot in summer and cold in winter, hot in summer and warm in winter, and mild in winter. e hot in summer and cold in winter region mainly refers to the middle and lower reaches of the Yangtze River, which is in the east of the Sichuan Basin, north of the Nanling, and south of Longhai Line
To avoid the phenomenon of overfitting or the inaccuracy of the network model, it is necessary to adjust the number of neurons in the hidden layer, perform repeated training of the neural network, and select the optimal number of neurons according to the training results to determine the number of neurons in the hidden layer [17]
Summary
With the development of our country’s economy and the continuous improvement of people’s living standards, people’s requirements for indoor comfort are getting higher and higher. Ere have been fruitful achievements for the related research on the enclosure structure of rural architectures in hot summer and cold winter areas Most of these studies did not analyze the energy-saving standards, nor did they discuss the cost-input relationship of the architecture envelope from the perspective of the owner [8]. Combined with the national energy-saving standards, the influence of the thermal performance of rural architecture envelope on the building’s annual energy consumption and the relationship between the initial investment in thermal insulation of the envelope and its service life are discussed It can provide a certain reference for the thermal design of the envelope structure of the public architecture in the hot summer and cold winter area and provide economic advice for the owner to choose the envelope structure, which can improve the owner’s enthusiasm for architecture energy conservation. (2) Multiple linear regression analysis and artificial neural networks are introduced to build a public architecture energy consumption model suitable for areas with hot summer and cold winter from a mesoscopic perspective
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
