Distributed Solar: The Democratizaton of Energy
Blogroll
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Leadership lessons from Lao Tzu
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Label Noise
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Harvard's Project Implicit
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- All about models
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Dollars per BBL: Energy in Transition
- 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.
- Subsidies for wind and solar versus subsidies for fossil fuels
- Mertonian norms
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- John Cook's reasons to use Bayesian inference
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- BioPython A collection of Python tools for quantitative Biology
- 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
- The Alliance for Securing Democracy dashboard
- Carl Safina's blog One of the wisest on Earth
- 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/
- London Review of Books
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- American Statistical Association
- 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
- Awkward Botany
- International Society for Bayesian Analysis (ISBA)
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Comprehensive Guide to Bayes Rule
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- distributed solar and matching location to need
- Slice Sampling
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- 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.
- Leverhulme Centre for Climate Change Mitigation
- 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.
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- "The Expert"
- 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)
- 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/.
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Mrooijer's Numbers R 4Us
- 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.”
- Number Cruncher Politics
- Dr James Spall's SPSA
- Risk and Well-Being
- Healthy Home Healthy Planet
- 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
climate change
- Documenting the Climate Deniarati at work
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- 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.
- “Ways to [try to] slow the Solar Century''
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- The Sunlight Economy
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- 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.
- Nick Bower's "Scared Scientists"
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- David Appell's early climate science
- RealClimate
- weather blocking patterns
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- 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.
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- `Who to believe on climate change': Simple checks By Bart Verheggen
- "Climate science is setttled enough"
- 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%.
- Berkeley Earth Surface Temperature
- Reanalyses.org
- Exxon-Mobil statement on UNFCCC COP21
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Bloomberg interactive graph on “What's warming the world''
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Jacobson WWS literature index
- Jacobson WWS literature index
- "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.
- Agendaists Eli Rabett’s coining of a phrase
- An open letter to Steve Levitt
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- SolarLove
- 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 Reports By John and Mel Harte
- "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.
- 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.
- 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
- 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
- Climate at a glance Current state of the climate, from NOAA
- Wally Broecker on climate realism
- The Scientific Case for Modern Human-caused Global Warming
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- "Getting to the Energy Future We Want," Dr Steven Chu
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
Archives
Jan Galkowski
Category Archives: dynamic generalized linear models
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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A quick note on modeling operational risk from count data
The blog statcompute recently featured a proposal encouraging the use of ordinal models for difficult risk regressions involving count data. This is actually a second installment of a two-part post on this problem, the first dealing with flexibility in count … Continue reading
Posted in American Statistical Association, Bayesian, Bayesian computational methods, count data regression, dichotomising continuous variables, dynamic generalized linear models, Frank Harrell, Frequentist, Generalize Additive Models, generalized linear mixed models, generalized linear models, GLMMs, GLMs, John Kruschke, maximum likelihood, model comparison, Monte Carlo Statistical Methods, multivariate statistics, nonlinear, numerical software, numerics, premature categorization, probit regression, statistical regression, statistics
Tagged dichotomising continuous variables, dichotomizing continuous variables, premature categorization, splines
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on nonlinear dynamics of hordes of people
I spent a bit of last week at a symposium honoring the work of Charney and Lorenz in fluid dynamics. I am no serious student of fluid dynamics. I have a friend, Klaus, an engineer, who is, and makes a … Continue reading
Posted in Anthropocene, bifurcations, biology, Carl Safina, causation, complex systems, dynamic generalized linear models, dynamic linear models, dynamical systems, ecological services, ecology, Emily Shuckburgh, finance, Floris Takens, fluid dynamics, fluid eddies, games of chance, Hyper Anthropocene, investments, Lenny Smith, Lorenz, nonlinear, numerical algorithms, numerical analysis, politics, population biology, population dynamics, prediction markets, Principles of Planetary Climate, public transport, Ray Pierrehumbert, risk, sampling networks, sustainability, Timothy Lenton, Yale University Statistics Department, zero carbon, ``The tide is risin'/And so are we''
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Results of short literature search on impacts of climate change upon ecosystems and bird or animal migration patterns, from the journals of the Ecological Society of America
I decided to do a quick literature search on the impacts of climate change upon ecosystems and migration patterns. I could have kept the list private, but why not make it public? Not all these articles are purely about the … Continue reading
Posted in adaptation, American Statistical Association, Anthropocene, biology, climate change, climate education, climate models, complex systems, differential equations, dynamic generalized linear models, dynamical systems, ecological services, Ecological Society of America, ecology, Ecology Action, environment, evidence, global warming, Hyper Anthropocene, marine biology, mass extinctions, nonlinear systems, population biology, population dynamics, quantitative biology, quantitative ecology, tragedy of the horizon
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Chesterton’s fence, ecological sensitivity, and the disruption of ecological services
Hat tip to Matt Levine for introducing me to the term Chesteron’s fence: Chesterton’s fence is the principle that reforms should not be made until the reasoning behind the existing state of affairs is understood. … In the matter of … Continue reading
On Smart Data
One of the things I find surprising, if not astonishing, is that in the rush to embrace Big Data, a lot of learning and statistical technique has been left apparently discarded along the way. I’m hardly the first to point … Continue reading
Posted in Akaike Information Criterion, Bayes, Bayesian, Bayesian inversion, big data, bigmemory package for R, changepoint detection, data science, data streams, dlm package, dynamic generalized linear models, dynamic linear models, dynamical systems, Generalize Additive Models, generalized linear models, information theoretic statistics, Kalman filter, linear algebra, logistic regression, machine learning, Markov Chain Monte Carlo, mathematics, mathematics education, maths, maximum likelihood, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical analysis, numerical software, numerics, quantitative biology, quantitative ecology, rationality, reasonableness, sampling, smart data, state-space models, statistical dependence, statistics, the right to know, time series
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ecoquant
