A data-driven approach to optimize the total energy consumption of the HVAC (heating, ventilation, and air conditioning) system in a typical office facility is presented. A multi-layer perceptron ensemble is selected to build the total energy model integrating three indoor air quality models,...

In this paper, a two-mode ventilation control of a single facility is formulated as a scheduling model over multiple time horizons. Using the CO2 concentration as the major indoor air quality index and expected room occupancy schedule, optimal solutions leading to reduced CO2 concentration and...

A data-driven optimization approach for minimization of the cooling output of an air handling unit (AHU) is presented. The models used in this research are built with data mining algorithms. The performance of dynamic models build by four different data mining algorithms is studied. A model...

A data-driven approach for minimization of the energy to air condition a typical office-type facility is presented. Eight data-mining algorithms are applied to model the nonlinear relationship among energy consumption, control settings (supply air temperature and supply air static pressure), and...

A data-driven approach for modeling indoor-air-quality (IAQ) sensors used in heating, ventilation, and air conditioning (HVAC) systems is presented. The IAQ sensors considered in the paper measure three basic parameters, temperature, CO2, and relative humidity. Three models predicting values of...

Predicting building energy load is important in energy management. This load is often the result of steam heating and cooling of buildings. In this paper, a data-driven approach for the development of a daily steam load model is presented. Data-mining algorithms are used to select significant...

This paper discusses an industrial project in which the objective was to develop a classification method for associating key characteristics of supplier/customer relationships with supplier evaluation focus groups and core supplier capabilities. A neural network model was developed to supplement...

A method is proposed for decomposing the decision making process based on risk factors in product development (e.g., redesign risk, schedule risk). The IDEF3 methodology is used to capture the macro-decision structure of the design process. Decision sets are identified based on logical...

The reduction of setup time has a significant impact on shortening manufacturing cycle time. In this paper, characteristics of setup activities are investigated, and models for sequencing setup activities are discussed. Sequencing setup activities can be modeled as a project scheduling problem....

A newly introduced product or service becomes an innovation after it has been proven in the market. No one likes the fact that market failures of products and services are much more common than commercial successes. A data-driven approach to innovation is proposed. It is a natural extension of...