Distributed Solar: The Democratizaton of Energy
Blogroll
- SASB Sustainability Accounting Standards Board
- James' Empty Blog
- Dollars per BBL: Energy in Transition
- Giant vertical monopolies for energy have stopped making sense
- Harvard's Project Implicit
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Carl Safina's blog One of the wisest on Earth
- 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.”
- Comprehensive Guide to Bayes Rule
- distributed solar and matching location to need
- 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/
- Dr James Spall's SPSA
- Gabriel's staircase
- 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
- 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
- "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.
- 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
- All about ENSO, and lunar tides (Paul Pukite) Historically, ENSO has been explained in terms of winds. But recently — and Dr Paul Pukite has insisted upon this for a long time — the oscillation of ENSO has been explained as a large-scale slosh due to lunar tidal forcing.
- Los Alamos Center for Bayesian Methods
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- 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.
- London Review of Books
- 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.
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- "The Expert"
- Hermann Scheer Hermann Scheer was a visionary, a major guy, who thought deep thoughts about energy, and its implications for humanity’s relationship with physical reality
- Mertonian norms
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- 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/.
- John Cook's reasons to use Bayesian inference
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- "Talking Politics" podcast David Runciman, Helen Thompson
- American Association for the Advancement of Science (AAAS)
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Healthy Home Healthy Planet
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- The Alliance for Securing Democracy dashboard
- Woods Hole Oceanographic Institution (WHOI)
- Leadership lessons from Lao Tzu
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- All about models
- Awkward Botany
- What If
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- NCAR AtmosNews
- Slice Sampling
climate change
- 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.
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- And Then There's Physics
- 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.
- Climate impacts on retail and supply chains
- David Appell's early climate science
- weather blocking patterns
- "Mighty Microgrids" Webinar This is a Webinar on YouTube about Microgrids from the Institute for Local Self-Reliance (ILSR), featuring New York State and Minnesota
- World Weather Attribution
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S 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.
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Interview with Wally Broecker Interview with Wally Broecker
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Exxon-Mobil statement on UNFCCC COP21
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Sea Change Boston
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- 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
- "A field guide to the climate clowns"
- "Getting to the Energy Future We Want," Dr Steven Chu
- Reanalyses.org
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Andy Zucker's "Climate Change and Psychology"
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- 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 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.
- Earth System Models
- 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
- Social Cost of Carbon
- “The discovery of global warming'' (American Institute of Physics)
- "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.
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- "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.
- "Climate science is setttled enough"
- On Thomas Edison and Solar Electric Power
- MIT's Climate Primer
- Berkeley Earth Surface Temperature
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- James Powell on sampling the climate consensus
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- 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.
- Skeptical Science
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- An open letter to Steve Levitt
- Simple models of climate change
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
Archives
Jan Galkowski
Category Archives: numerical linear algebra
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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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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When linear systems can’t be solved by linear means
Linear systems of equations and their solution form the cornerstone of much Engineering and Science. Linear algebra is a paragon of Mathematics in the sense that its theory is what mathematicians try to emulate when they develop theory for many … Continue reading
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