Distributed Solar: The Democratizaton of Energy
Blogroll
- 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
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- London Review of Books
- Earle Wilson
- Woods Hole Oceanographic Institution (WHOI)
- 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.
- Slice Sampling
- 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
- Giant vertical monopolies for energy have stopped making sense
- Gabriel's staircase
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- 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/
- Number Cruncher Politics
- All about Sankey diagrams
- 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/.
- 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)
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Leadership lessons from Lao Tzu
- 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.
- John Cook's reasons to use Bayesian inference
- All about models
- Harvard's Project Implicit
- The Alliance for Securing Democracy dashboard
- Dr James Spall's SPSA
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Subsidies for wind and solar versus subsidies for fossil fuels
- Comprehensive Guide to Bayes Rule
- "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.
- Professor David Draper
- 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.
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Healthy Home Healthy Planet
- Dollars per BBL: Energy in Transition
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Darren Wilkinson's introduction to ABC Darren Wilkinson’s introduction to approximate Bayesian computation (“ABC”). See also his post about summary statistics for ABC https://darrenjw.wordpress.com/2013/09/01/summary-stats-for-abc/
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Risk and Well-Being
- BioPython A collection of Python tools for quantitative Biology
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- 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
- 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”
- Gavin Simpson
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- 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)
climate change
- Agendaists Eli Rabett’s coining of a phrase
- And Then There's Physics
- 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.
- weather blocking patterns
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- The Sunlight Economy
- Jacobson WWS literature index
- Berkeley Earth Surface Temperature
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- An open letter to Steve Levitt
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- Ice and Snow
- "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.)
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Reanalyses.org
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Climate Change Reports By John and Mel Harte
- James Powell on sampling the climate consensus
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Grid parity map for Solar PV in United States
- Thriving on Low Carbon
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- "Getting to the Energy Future We Want," Dr Steven Chu
- Earth System Models
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- "Betting strategies on fluctuations in the transient response of greenhouse warming" By Risbey, Lewandowsky, Hunter, Monselesan: Betting against climate change on durations of 15+ years is no longer a rational proposition.
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- "A field guide to the climate clowns"
- The Scientific Case for Modern Human-caused Global Warming
- MIT's Climate Primer
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- 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
- Solar Gardens Community Power
- 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 unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- 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 Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- The Keeling Curve The first, and one of the best programs for creating a spatially significant long term time series of atmospheric concentrations of CO2. Started amongst great obstacles by one, smart determined guy, Charles David Keeling.
- 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.
- Climate at a glance Current state of the climate, from NOAA
- 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.
- Climate Change Denying Organizations
- “The discovery of global warming'' (American Institute of Physics)
Archives
Jan Galkowski
Category Archives: non-parametric model
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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Result of our own fiddling: Bob Watson and climate risk
https://sms.cam.ac.uk/media/746045 Professor Bob Watson, University of East Anglia, presents the summary risk, climate change: The question is not whether the Earth’s climate will change in response to human activities, but when, where and by how much. Human activities are changing … Continue reading
Posted in Anthropocene, attribution, carbon dioxide, Carbon Worshipers, catastrophe modeling, climate, climate change, climate data, climate disruption, climate economics, climate education, climate grief, climate justice, ecological disruption, ecology, Ecology Action, environment, global blinding, global warming, greenhouse gases, greenwashing, meteorology, National Center for Atmospheric Research, non-parametric model, Principles of Planetary Climate, radiative forcing, reasonableness, science, solar democracy, solar domination, solar energy, Solar Freakin' Roadways, solar power, SolarPV.tv, Solpad, Sonnen community, Spaceship Earth, stranded assets, sustainability, the energy of the people, the green century, the tragedy of our present civilization, the value of financial assets, tragedy of the horizon, utility company death spiral, water, wind energy, wind power
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Stream flow and P-splines: Using built-in estimates for smoothing
Mother Brook in Dedham Massachusetts was the first man-made canal in the United States. Dug in 1639, it connects the Charles River at Dedham, to the Neponset River in the Hyde Park section of Boston. It was originally an important … Continue reading
Posted in American Statistical Association, citizen data, citizen science, Clausius-Clapeyron equation, Commonwealth of Massachusetts, cross-validation, data science, dependent data, descriptive statistics, dynamic linear models, empirical likelihood, environment, flooding, floods, Grant Foster, hydrology, likelihood-free, meteorological models, model-free forecasting, non-mechanistic modeling, non-parametric, non-parametric model, non-parametric statistics, numerical algorithms, precipitation, quantitative ecology, statistical dependence, statistical series, stream flow, Tamino, the bootstrap, time series, water vapor
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The Johnson-Lindenstrauss Lemma, and the paradoxical power of random linear operators. Part 1.
Updated, 2018-12-04 I’ll be discussing the ramifications of: William B. Johnson and Joram Lindenstrauss, “Extensions of Lipschitz mappings into a Hilbert space, Contemporary Mathematics, 26:189–206, 1984. for several posts here. Some introduction and links to proofs and explications will be … Continue reading
Posted in clustering, data science, dimension reduction, information theoretic statistics, Johnson-Lindenstrauss Lemma, k-NN, Locality Sensitive Hashing, mathematics, maths, multivariate statistics, non-parametric model, numerical algorithms, numerical linear algebra, point pattern analysis, random projections, recommender systems, science, stochastic algorithms, stochastics, subspace projection methods
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Why smooth?
I’ve encountered a number of blog posts this week which seem not to understand the Bias-Variance Tradeoff in regard to Mean-Squared-Error. These arose in connection with smoothing splines, which I was studying in connection with multivariate adaptive regression splines, that … Continue reading
Posted in Akaike Information Criterion, American Statistical Association, Antarctica, carbon dioxide, climate change, denial, global warming, information theoretic statistics, likelihood-free, multivariate adaptive regression splines, non-parametric model, science denier, smoothing, splines, statistical dependence
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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 