Distributed Solar: The Democratizaton of Energy
Blogroll
- 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.
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- BioPython A collection of Python tools for quantitative Biology
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Ted Dunning
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- London Review of Books
- Carl Safina's blog One of the wisest on Earth
- Harvard's Project Implicit
- SASB Sustainability Accounting Standards Board
- In Monte Carlo We Trust The statistics blog of Matt Asher, actually called the “Probability and Statistics Blog”, but his subtitle is much more appealing. Asher has a Manifesto at http://www.statisticsblog.com/manifesto/.
- 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.
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- 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.”
- 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.
- American Association for the Advancement of Science (AAAS)
- Simon Wood's must-read paper on dynamic modeling of complex systems I highlighted Professor Wood’s paper in https://hypergeometric.wordpress.com/2014/12/26/struggling-with-problems-already-attacked/
- Ives and Dakos techniques for regime changes in series
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Giant vertical monopolies for energy have stopped making sense
- 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.
- Slice Sampling
- Beautiful Weeds of New York City
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Tim Harford's “More or Less'' Tim Harford explains – and sometimes debunks – the numbers and statistics used in political debate, the news and everyday life
- The Alliance for Securing Democracy dashboard
- All about models
- James' Empty Blog
- Gabriel's staircase
- "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.
- Los Alamos Center for Bayesian Methods
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- 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 Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Comprehensive Guide to Bayes Rule
- Dr James Spall's SPSA
- Risk and Well-Being
- International Society for Bayesian Analysis (ISBA)
- Earle Wilson
- American Statistical Association
- Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
- distributed solar and matching location to need
- Leadership lessons from Lao Tzu
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Karl Broman
climate change
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- The Scientific Case for Modern Human-caused Global Warming
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- "A field guide to the climate clowns"
- "Warming Slowdown?" (part 1 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. In two parts.
- RealClimate
- MIT's Climate Primer
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- “The discovery of global warming'' (American Institute of Physics)
- Climate Change Reports By John and Mel Harte
- weather blocking patterns
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- 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.
- Skeptical Science
- History of discovering Global Warming From the American Institute of Physics.
- Climate at a glance Current state of the climate, from NOAA
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Climate impacts on retail and supply chains
- Bloomberg interactive graph on “What's warming the world''
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Simple models of climate change
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- On Thomas Edison and Solar Electric Power
- And Then There's Physics
- “Ways to [try to] slow the Solar Century''
- Earth System Models
- "Getting to the Energy Future We Want," Dr Steven Chu
- 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.
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Interview with Wally Broecker Interview with Wally Broecker
- Climate Change: A health emergency … New England Journal of Medicine Caren G. Solomon, M.D., M.P.H., and Regina C. LaRocque, M.D., M.P.H., January 17, 2019 N Engl J Med 2019; 380:209-211 DOI: 10.1056/NEJMp1817067
- The Sunlight Economy
- Andy Zucker's "Climate Change and Psychology"
- 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
- Climate Change Denying Organizations
- David Appell's early climate science
- Ice and Snow
- 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.
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- World Weather Attribution
- NOAA Annual Greenhouse Gas Index report The annual assessment by the National Oceanic and Atmospheric Administration of the radiative forcing from constituent atmospheric greenhouse gases
- 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.
- Sea Change Boston
- Isaac Held's blog In the spirit of Ray Pierrehumbert’s “big ideas come from small models” in his textbook, PRINCIPLES OF PLANETARY CLIMATE, Dr Held presents quantitative essays regarding one feature or another of the Earth’s climate and weather system.
- "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.)
Archives
Jan Galkowski
Tag Archives: data mining
“Data-driven science is a failure of imagination” (Petr Keil)
Happened across this today … I could not agree more: “Data-driven science is a failure of imagination” by Petr Keil. I look forward to reading his posts on Bayesian statistics.
Posted in Bayesian, engineering, history, mathematics, maths, MCMC, probabilistic programming, rationality, science
Tagged data mining, data science
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On Dangers of Indiscriminate Clustering
K-means and other algorithms for clustering are widely used for determining associations based upon standardized series of attributes. While there are a number of clustering algorithms, including some robust ones, some not-so-robust, some non-parametric, and some model-based, all share two … Continue reading
ecoquant
