### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Dollars per BBL: Energy in Transition
- Risk and Well-Being
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Ives and Dakos techniques for regime changes in series
- Ted Dunning
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Number Cruncher Politics
- Mrooijer's Numbers R 4Us
- Gabriel's staircase
- The Alliance for Securing Democracy dashboard
- Carl Safina's blog One of the wisest on Earth
- Slice Sampling
- Dr James Spall's SPSA
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Giant vertical monopolies for energy have stopped making sense
- "The Expert"
- Woods Hole Oceanographic Institution (WHOI)
- Gavin Simpson
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Logistic curves in market disruption From DollarsPerBBL, about logistic or S-curves as models of product take-up rather than exponentials, with notes on EVs
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- Higgs from AIR describing NAO and EA Stephanie Higgs from AIR Worldwide gives a nice description of NAO and EA in the context of discussing “The Geographic Impact of Climate Signals on European Winter Storms”
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Subsidies for wind and solar versus subsidies for fossil fuels
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- London Review of Books
- Professor David Draper
- Prediction vs Forecasting: Knaub “Unfortunately, ‘prediction,’ such as used in model-based survey estimation, is a term that is often subsumed under the term ‘forecasting,’ but here we show why it is important not to confuse these two terms.”
- "Talking Politics" podcast David Runciman, Helen Thompson
- Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- NCAR AtmosNews
- distributed solar and matching location to need
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- American Association for the Advancement of Science (AAAS)
- Busting Myths About Heat Pumps Heat pumps are perhaps the most efficient heating and cooling systems available. Recent literature distributed by utilities hawking natural gas and other sources use performance figures from heat pumps as they were available 15 years ago. See today’s.
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Harvard's Project Implicit
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science

### climate change

- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example Heavy on data and computation, Easterbrook is a CS prof at UToronto, but is clearly familiar with climate science. I like his “The Internet: Saving Civilization or Trashing the Planet” very much.
- Risk and Well-Being
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- David Appell's early climate science
- Warming slowdown discussion
- And Then There's Physics
- Ice and Snow
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Social Cost of Carbon
- The beach boondoggle Prof Rob Young on how owners of beach property are socializing their risks at costs to all of us, not the least being it seems coastal damage is less than it actually is
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Mrooijer's Global Temperature Explorer
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Reanalyses.org
- World Weather Attribution
- Model state level energy policy for New Englad Bob Massie’s proposed energy policy for Massachusetts, an admirable model for energy policy anywhere in New England
- On Thomas Edison and Solar Electric Power
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- James Powell on sampling the climate consensus
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Sea Change Boston
- An open letter to Steve Levitt
- Climate change: Evidence and causes A project of the UK Royal Society: (1) Answers to key questions, (2) evidence and causes, and (3) a short guide to climate science
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Grid parity map for Solar PV in United States
- Skeptical Science
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- History of discovering Global Warming From the American Institute of Physics.
- The great Michael Osborne's latest opinions Michael Osborne is a genius operative and champion of solar energy. I have learned never to disregard ANYTHING he says. He is mentor of Karl Ragabo, and the genius instigator of the Texas renewable energy miracle.
- CLIMATE ADAM Previously from the Science news staff at the podcast of Nature (“Nature Podcast”), the journal, now on YouTube, encouraging climate action through climate comedy.
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
- "Getting to the Energy Future We Want," Dr Steven Chu
- Berkeley Earth Surface Temperature
- The Sunlight Economy
- Documenting the Climate Deniarati at work
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Interview with Wally Broecker Interview with Wally Broecker
- SolarLove
- Jacobson WWS literature index
- Climate Change Denying Organizations
- US$165/tonne CO2: Sweden Sweden has a Carbon Dioxide tax of US$165 per tonne at present. CO2 tax was imposed in 1991. GDP has grown 60%.
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial

### Archives

### Jan Galkowski

# Category Archives: statistical learning

## Phase Plane plots of COVID-19 deaths *with uncertainties*

I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading

Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms
Tagged prediction intervals
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## Calculating Derivatives from Random Forests

(Comment on prediction intervals for random forests, and links to a paper.) (Edits to repair smudges, 2020-06-28, about 0945 EDT. Closing comment, 2020-06-30, 1450 EDT.) There are lots of ways of learning about mathematical constructs, even about actual machines. One … Continue reading

Posted in bridge to somewhere, Calculus, dependent data, dynamic generalized linear models, dynamical systems, ensemble methods, ensemble models, filtering, forecasting, hierarchical clustering, linear regression, model-free forecasting, Monte Carlo Statistical Methods, non-mechanistic modeling, non-parametric model, non-parametric statistics, numerical algorithms, prediction, R statistical programming language, random forests, regression, sampling, splines, statistical learning, statistical series, statistics, time derivatives, time series
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