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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Ideology Prediction From Scarce And Biased Supervision: Learn To Disregard The “What” And Focus On The “How”!, Chen Chen, Dylan Walker, Venkatesh Saligrama
Ideology Prediction From Scarce And Biased Supervision: Learn To Disregard The “What” And Focus On The “How”!, Chen Chen, Dylan Walker, Venkatesh Saligrama
Business Faculty Articles and Research
We propose a novel supervised learning approach for political ideology prediction (PIP) that is capable of predicting out-of-distribution inputs. This problem is motivated by the fact that manual data-labeling is expensive, while self-reported labels are often scarce and exhibit significant selection bias. We propose a novel statistical model that decomposes the document embeddings into a linear superposition of two vectors; a latent neutral context vector independent of ideology, and a latent position vector aligned with ideology. We train an end-to-end model that has intermediate contextual and positional vectors as outputs. At deployment time, our model predicts labels for input documents …
The Economics Of Residential Solar Panels: A Comparison Of Energy Charges For Different Load Profiles, Rate Plans, And Panel Orientations, John B. Broughton, Candace E. Ybarra, Prashanth U. Nyer
The Economics Of Residential Solar Panels: A Comparison Of Energy Charges For Different Load Profiles, Rate Plans, And Panel Orientations, John B. Broughton, Candace E. Ybarra, Prashanth U. Nyer
Business Faculty Articles and Research
This paper examines the effect of different residential electrical load profiles (electrical energy consumption patterns within a day) on energy charges for customers with solar panels under different Southern California Edison time-of-use (TOU) rate plans. We identify the TOU plan which would be the most cost effective for solar customers with each load profile. The impact of the orientation of the solar panel array (whether it faces south or west or east) and shading patterns on electricity charges are examined. We also determine the ideal usage offset (the percentage of electricity consumption provided by the solar array) for the various …
The Economics Of Residential Solar And Battery Storage: Analyzing The Impact Of The Joint Iou Proposal For Net Metering 3.0 In California, Candace E. Ybarra, Prashanth U. Nyer, John B. Broughton, Thomas A. Turk
The Economics Of Residential Solar And Battery Storage: Analyzing The Impact Of The Joint Iou Proposal For Net Metering 3.0 In California, Candace E. Ybarra, Prashanth U. Nyer, John B. Broughton, Thomas A. Turk
Business Faculty Articles and Research
The California Public Utilities Commission (CPUC) is currently deciding on the structure of the next net metering program, which will determine how customers who install solar panels (and battery storage) under this new program will be compensated for excess energy that they export to the grid, and the additional fees that these solar customers will have to pay. The major investor-owned utility (IOU) companies in the state and some legislators have argued that the current net metering programs are far too generous to the customers and that they create an inequity by favoring the wealthy and causing a cost shift …
The Economics Of Battery Storage For Residential Solar Customers In Southern California, John B. Broughton, Prashanth U. Nyer, Candace E. Ybarra
The Economics Of Battery Storage For Residential Solar Customers In Southern California, John B. Broughton, Prashanth U. Nyer, Candace E. Ybarra
Business Faculty Articles and Research
Battery storage coupled with solar panels became a consideration after the original net metering program in California (NEM 1.0) ended and gave way to the current net metering program (NEM 2.0). Under NEM 2.0, battery storage gives customers under time-of-use (TOU) rate plans the ability to store the excess electrical energy generated by their panels during sunlight hours (when electricity usage and resale rates are low) and then use that energy in the evening when rates are significantly higher. This reduces the amount of expensive electricity that the customer would have to purchase from the grid. It is widely expected …
The Economics Of Residential Solar Panels: Comparing Tiered And Time Of Use Plans, Prashanth Nyer, Candace Ybarra, Jack B. Broughton
The Economics Of Residential Solar Panels: Comparing Tiered And Time Of Use Plans, Prashanth Nyer, Candace Ybarra, Jack B. Broughton
Business Faculty Articles and Research
This case study uses data from a Southern California Edison residential customer on a grandfathered tiered rate plan to investigate 1) whether it is economically beneficial for the customer to switch from a tiered-rate plan to a Time-of-Use (TOU) plan, 2) whether going solar now makes financial sense for new solar customers, 3) what level of usage offset (the percentage of the customer’s annual electricity consumption that is provided by the solar panels) would result in the maximum financial benefit for the customer under each of the many TOU plans, and 4) whether solar customers on TOU plans can save …
Design Of Randomized Experiments In Networks, Dylan Walker, Lev Muchnik
Design Of Randomized Experiments In Networks, Dylan Walker, Lev Muchnik
Business Faculty Articles and Research
Over the last decade, the emergence of pervasive online and digitally enabled environments has created a rich source of detailed data on human behavior. Yet, the promise of big data has recently come under fire for its inability to separate correlation from causation-to derive actionable insights and yield effective policies. Fortunately, the same online platforms on which we interact on a day-to-day basis permit experimentation at large scales, ushering in a new movement toward big experiments. Randomized controlled trials are the heart of the scientific method and when designed correctly provide clean causal inferences that are robust and reproducible. However, …
Building A Computer Program To Support Children, Parents, And Distraction During Healthcare Procedures, Kirsten Hanrahan, Ann Marie Mccarthy, Charmaine Kleiber, Kaan Ataman, W. Nick Street, M. Bridget Zimmerman, Annel L. Ersig
Building A Computer Program To Support Children, Parents, And Distraction During Healthcare Procedures, Kirsten Hanrahan, Ann Marie Mccarthy, Charmaine Kleiber, Kaan Ataman, W. Nick Street, M. Bridget Zimmerman, Annel L. Ersig
Business Faculty Articles and Research
This secondary data analysis used data mining methods to develop predictive models of child risk for distress during a healthcare procedure. Data used came from a study that predicted factors associated with children's responses to an intravenous catheter insertion while parents provided distraction coaching. From the 255 items used in the primary study, 44 predictive items were identified through automatic feature selection and used to build support vector machine regression models. Models were validated using multiple cross-validation tests and by comparing variables identified as explanatory in the traditional versus support vector machine regression. Rule-based approaches were applied to the model …
Identifying Social Influence In Networks Using Randomized Experiments, Sinan Aral, Dylan Walker
Identifying Social Influence In Networks Using Randomized Experiments, Sinan Aral, Dylan Walker
Business Faculty Articles and Research
The recent availability of massive amounts of networked data generated by email, instant messaging, mobile phone communications, micro blogs, and online social networks is enabling studies of population-level human interaction on scales orders of magnitude greater than what was previously possible.1'2 One important goal of applying statistical inference techniques to large networked datasets is to understand how behavioral contagions spread in human social networks. More precisely, understanding how people influence or are influenced by their peers can help us understand the ebb and flow of market trends, product adoption and diffusion, the spread of health behaviors such as smoking and …
Optimizing Product Line Designs: Efficient Methods And Comparisons, Alexandre Belloni, Robert Freund, Matthew Selove, Duncan Simester
Optimizing Product Line Designs: Efficient Methods And Comparisons, Alexandre Belloni, Robert Freund, Matthew Selove, Duncan Simester
Business Faculty Articles and Research
We take advantage of recent advances in optimization methods and computer hardware to identify globally optimal solutions of product line design problems that are too large for complete enumeration. We then use this guarantee of global optimality to benchmark the performance of more practical heuristic methods. We use two sources of data: (1) a conjoint study previously conducted for a real product line design problem, and (2) simulated problems of various sizes. For both data sources, several of the heuristic methods consistently find optimal or near-optimal solutions, including simulated annealing, divide-and-conquer, product-swapping, and genetic algorithms.