THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

Solar Engineering Of Thermal Processes

Several simplified design procedures for solar energy systems require monthly average meteorological data. Monthly average daily totals of the solar radiation incident on a horizontal surface are available. However, radiation data on tilted surfaces, required by the design procedures, are generally not available. A simple method of estimating the average daily radiation for each calendar month on surfaces facing directly towards the equator has been presented by Liu and Jordan [1]. This method is verified with experimental measurements and extended to allow calculation of monthly average radiation on surfaces of a wide range of orientations.

Calculation of monthly average insolation on tilted surfaces

A review of human thermal comfort in the built environment

Application of support vector machine models for forecasting solar and wind energy resources: A review

Energy Production and Consumption Characteristics and Energy Development Path in Northwest China

High energy consumption of district heating system can be improved by control strategy. Accurate prediction of heat load is very important for optimizing system control. Selecting reasonable input parameters is also the key to accurate prediction. Therefore, this paper establishes a short-term heat load forecasting model based on random forest regression (RFR), forecasts the heating load of a district in Xi’an, analyzes the most influential parameters in different month, and compares the forecasting results with the support vector regression (SVR). The results show that the performance of RFR model is better than that of SVR model by 10.2%. The load factors in different heating stages are not identical, indicating that energy operation mode has changed. Therefore, in different heating periods, the change of influencing parameters can be considered appropriately, and the prediction model can be adjusted to help the reasonable operation of the heating system and improve the energy efficiency.

Dengjia Wang

Papers

Energy Production and Consumption Characteristics and Energy Development Path in Northwest China

Prediction and Factors Determination of District Heating Load Based on Random Forest Algorithm

Dual-objective optimization of large-scale solar heating systems integrated with water-to-water heat pumps for improved techno-economic performance

Predicting the effective thermal conductivity of porous building materials using improved Menger sponge fractal structure

Thermal performance and evaluation of a novel stratified and mixed flexible transformation solar heat storage unit