Distributed Solar: The Democratizaton of Energy
Blogroll
- Gavin Simpson
- SASB Sustainability Accounting Standards Board
- Los Alamos Center for Bayesian Methods
- "The Expert"
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Mertonian norms
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Gabriel's staircase
- BioPython A collection of Python tools for quantitative Biology
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Karl Broman
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- The Alliance for Securing Democracy dashboard
- 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.
- American Association for the Advancement of Science (AAAS)
- Earle Wilson
- Ted Dunning
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- 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.”
- Harvard's Project Implicit
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Label Noise
- 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
- Giant vertical monopolies for energy have stopped making sense
- 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
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- James' Empty Blog
- 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
- Subsidies for wind and solar versus subsidies for fossil fuels
- Leverhulme Centre for Climate Change Mitigation
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- 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 Sankey diagrams
- Comprehensive Guide to Bayes Rule
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- All about models
- Number Cruncher Politics
- "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.
- What If
- Leadership lessons from Lao Tzu
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- 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”
climate change
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- 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 Scientific Case for Modern Human-caused Global Warming
- Simple models of climate change
- Jacobson WWS literature index
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- "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
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- MIT's Climate Primer
- Climate model projections versus observations
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- "Climate science is setttled enough"
- Social Cost of Carbon
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- 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.
- Reanalyses.org
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- 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.
- Documenting the Climate Deniarati at work
- 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
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Climate at a glance Current state of the climate, from NOAA
- Berkeley Earth Surface Temperature
- Jacobson WWS literature index
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- "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.
- 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
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Bloomberg interactive graph on “What's warming the world''
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- "A field guide to the climate clowns"
- Interview with Wally Broecker Interview with Wally Broecker
- "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.
- And Then There's Physics
- Mrooijer's Global Temperature Explorer
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Nick Bower's "Scared Scientists"
- Sea Change Boston
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- 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.
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Grid parity map for Solar PV in United States
- Agendaists Eli Rabett’s coining of a phrase
- Skeptical Science
- James Hansen and granddaughter Sophie on moving forward with progress on climate
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
