### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Mrooijer's Numbers R 4Us
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Patagonia founder Yvon Chouinard on how businesses can help our collective environmental mess Patagonia’s Yvon Chouinard set the standard for how a business can mitigate the ravages of capitalism on earth’s environment. At 81 years old, he’s just getting started.
- Why "naive Bayes" is not Bayesian Explains why the so-called “naive Bayes” classifier is not Bayesian. The setup is okay, but estimating probabilities by doing relative frequencies instead of using Dirichlet conjugate priors or integration strays from The Path.
- Professor David Draper
- Risk and Well-Being
- Label Noise
- All about Sankey diagrams
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- London Review of Books
- NCAR AtmosNews
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Earle Wilson
- 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”
- Healthy Home Healthy Planet
- Mike Bloomberg, 2020 He can get progress on climate done, has the means and experts to counter the Trump and Republican digital disinformation machine, and has the experience, knowledge, and depth of experience to achieve and unify.
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- BioPython A collection of Python tools for quantitative Biology
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- "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.
- All about models
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Woods Hole Oceanographic Institution (WHOI)
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Leadership lessons from Lao Tzu
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Beautiful Weeds of New York City
- Giant vertical monopolies for energy have stopped making sense
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- American Association for the Advancement of Science (AAAS)
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Ted Dunning
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- 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
- 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.
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Awkward Botany
- Harvard's Project Implicit
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Los Alamos Center for Bayesian Methods
- Ives and Dakos techniques for regime changes in series
- Dominic Cummings blog Chief advisor to the PM, United Kingdom

### climate change

- Climate at a glance Current state of the climate, from NOAA
- MIT's Climate Primer
- Thriving on Low Carbon
- "A field guide to the climate clowns"
- "When Did Global Warming Stop" Doc Snow’s treatment of the denier claim that there’s been no warming for the most recent N years. (See http://hubpages.com/@doc-snow for more on him.)
- On Thomas Edison and Solar Electric Power
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Climate Change Denying Organizations
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Reanalyses.org
- Jacobson WWS literature index
- Bloomberg interactive graph on “What's warming the world''
- Dessler's 6 minute Greenhouse Effect video
- Agendaists Eli Rabett’s coining of a phrase
- Earth System Models
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- Climate model projections versus observations
- SolarLove
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Documenting the Climate Deniarati at work
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Social Cost of Carbon
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- An open letter to Steve Levitt
- Nick Bower's "Scared Scientists"
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Skeptical Science
- Exxon-Mobil statement on UNFCCC COP21
- Jacobson WWS literature index
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
- Interview with Wally Broecker Interview with Wally Broecker
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Mathematics and Climate Research Network The Mathematics and Climate Research Network (MCRN) engages mathematicians to collaborating on the cryosphere, conceptual model validation, data assimilation, the electric grid, food systems, nonsmooth systems, paleoclimate, resilience, tipping points.
- Warming slowdown discussion
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- 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
- “Ways to [try to] slow the Solar Century''
- 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
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- David Appell's early climate science
- Mrooijer's Global Temperature Explorer
- Paul Beckwith Professor Beckwith is, in my book, one of the most insightful and analytical observers on climate I know. I highly recommend his blog, and his other informational products.
- "Warming Slowdown?" (part 2 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. The second part.
- "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.
- 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.
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- The Scientific Case for Modern Human-caused Global Warming
- Grid parity map for Solar PV in United States

### 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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