Abstract: Embodiments include methods and systems for forecasting electrical demand of a building. Aspects include receiving a weather forecast for an upcoming day and receiving a historical data file comprising historical weather data and historical electrical load data for the building for a plurality of previous days. Aspects also include comparing the historical weather data for each of the plurality of previous days to the forecast and calculating a baseline electrical consumption of the building for the upcoming day based on the comparison.

Abstract: A computer-implemented method for ranking design parameter significance includes a computer receiving an input dataset representative of a physical object. This input dataset includes a baseline parameters and associated probabilities. The computer also receives performance requirements. For each respective baseline parameter, the computer performs an analysis process. During this analysis process, a range of parameter values are selected for the respective baseline parameter based on its corresponding probability distribution. The range of parameter values are segmented into parameter subsets and multiple instances of a simulation are executed using the performance requirements to yield snapshots. A Proper Orthogonal Decomposition (POD) basis is derived using the snapshots. A sensitivity analysis is performed based on the POD basis to yield a sensitivity measurement representative of an effect of variation of the respective parameter on the performance requirements.

Abstract: A computer-implemented method for generating an optimal design of a product based on a data-feedback loop from product lifecycle into design and manufacturing information includes using a plurality of product lifecycle models to select an optimal design for the product. Each product lifecycle model corresponds to one of a plurality of product lifecycle stages. During each of the plurality of product lifecycle stages, a product lifecycle dataset is collected from one or more stakeholders using a web-based digital thread and the collected product lifecycle datasets are stored in a database. The plurality of product lifecycle models are up dated using the stored product lifecycle datasets and used to select a new optimal design for the product.

Abstract: A system for calculating total lifecycle costs for a building energy management system includes lifecycle costs for a grid-scale battery system. The system includes a battery lifecycle optimizer configured to provide an optimal battery configuration for a building and a building energy system controller. The building energy system controller receives optimum battery configuration information, information relating to the heat ventilation air conditioning system of the building, intrinsic thermodynamic properties of the building, energy tariff schedules and weather forecast data to forecast a monthly peak demand profile. A simulation is run using a battery model, system model along with tariff and weather information to produce an hourly building energy management plan for minimizing overall energy costs with consideration of system lifecycle costs.

Abstract: A method for operating an air handling unit of an HVAC system. The method includes opening an outside air flow control device to enable breathing air flow during a high outdoor air time period to a first zone having a first number of occupants and a second zone having a second number of occupants that is less than the first number of occupants. The outside air flow control device is then closed to enable conditioning air flow during a low outdoor air time period to the first and second zones. Further, a variable air volume (VAV) air flow control device provides desired amounts of breathing air to the first and second zones suitable for the first and second number of occupants, respectively. A VAV air temperature control device then provides conditioning air to the first and second zones having a suitable temperature for the first and second number of occupants.

Abstract: A flexible control architecture for an electrical power microgrid provides resiliency when operating under varying threat levels. The architecture includes a microgrid control layer, an intermediate layer and a component control layer. A contingency level is computed based on conditions of the microgrid such as weather and system state. When the contingency level indicates a low degree of threat, the system operates in a centralized, top-down control configuration. When the contingency level indicates a high degree of threat, the system operates in a decentralized control configuration with the microgrid control layer performing only a monitoring function.

Abstract: Some embodiments of the present technology relate to methods and compositions for the diagnosis and treatment of cancer. Some embodiments include methods and compositions for the diagnosis and treatment of castration-resistant prostate cancer. Some embodiments include methods and compositions for the diagnosis and treatment of pancreatic cancer.

Abstract: Some embodiments of the present technology relate to methods and compositions for the diagnosis and treatment of cancer. Some embodiments include methods and compositions for the diagnosis and treatment of castration-resistant prostate cancer. Some embodiments include methods and compositions for the diagnosis and treatment of pancreatic cancer.

Abstract: A computer-implemented method for optimizing manufacturing of a product based on total life cycle energy consumption includes receiving manufacturing parameters associated with manufacturing the product according to a manufacturing process and a candidate hybrid manufacturing plan for implementing the manufacturing process using a first combination of additive manufacture techniques and non-additive manufacture techniques. An energy consumption dataset is generated comprising (i) first energy consumption data corresponding to a non-additive manufacturing process, (ii) second energy consumption data corresponding to an additive manufacturing process, and (iii) energy intensity data associated with manufacturing materials. Next, the total life-cycle energy consumption for the candidate hybrid manufacturing plan is computed.

Abstract: A computer-implemented method for managing a fleet of electric vehicles includes a fleet management computing system selecting an optimal vehicle fleet size and a plurality of discharging parking lot locations based on (i) historical electrical energy consumption for a geographic area and (ii) historical traffic flow though the geographic area during one or more time periods of interest. The fleet management computing system collects transportation demand data from a plurality of users comprising requests for transportation to locations within the geographic area and uses (i) the optimal vehicle fleet size, (ii) the plurality of discharging parking lot locations, and (iii) the transportation demand data to select routing information for each of a plurality of electric vehicles. Then, the fleet management computing system routes each respective autonomous vehicle according to its respective routing information.

Abstract: Embodiments include methods and systems for forecasting electrical demand of a building. Aspects include receiving a weather forecast for an upcoming day and receiving a historical data file comprising historical weather data and historical electrical load data for the building for a plurality of previous days. Aspects also include comparing the historical weather data for each of the plurality of previous days to the forecast and calculating a baseline electrical consumption of the building for the upcoming day based on the comparison.

Abstract: A computer-implemented method for ranking design parameter significance includes a computer receiving an input dataset representative of a physical object. This input dataset includes a baseline parameters and associated probabilities. The computer also receives performance requirements. For each respective baseline parameter, the computer performs an analysis process. During this analysis process, a range of parameter values are selected for the respective baseline parameter based on its corresponding probability distribution. The range of parameter values are segmented into parameter subsets and multiple instances of a simulation are executed using the performance requirements to yield snapshots. A Proper Orthogonal Decomposition (POD) basis is derived using the snapshots. A sensitivity analysis is performed based on the POD basis to yield a sensitivity measurement representative of an effect of variation of the respective parameter on the performance requirements.

Abstract: Some embodiments of the present technology relate to methods and compositions for the diagnosis and treatment of cancer. Some embodiments include methods and compositions for the diagnosis and treatment of castration-resistant prostate cancer. Some embodiments include methods and compositions for the diagnosis and treatment of pancreatic cancer.