Distributed Solar: The Democratizaton of Energy
Blogroll
- 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/.
- 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
- BioPython A collection of Python tools for quantitative Biology
- James' Empty Blog
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- 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.
- What If
- Gabriel's staircase
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- "Perpetual Ocean" from NASA GSFC
- 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.
- distributed solar and matching location to need
- Carl Safina's blog One of the wisest on Earth
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Leverhulme Centre for Climate Change Mitigation
- 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.”
- 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
- Beautiful Weeds of New York City
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- SASB Sustainability Accounting Standards Board
- "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.
- Number Cruncher Politics
- 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.
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- 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
- Slice Sampling
- Ives and Dakos techniques for regime changes in series
- London Review of Books
- 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.
- 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.
- Mertonian norms
- International Society for Bayesian Analysis (ISBA)
- 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.
- John Cook's reasons to use Bayesian inference
- Label Noise
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Woods Hole Oceanographic Institution (WHOI)
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- "The Expert"
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- American Association for the Advancement of Science (AAAS)
- Dr James Spall's SPSA
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- The Alliance for Securing Democracy dashboard
- 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
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Awkward Botany
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
climate change
- Agendaists Eli Rabett’s coining of a phrase
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- And Then There's Physics
- Solar Gardens Community Power
- Simple models of climate change
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Climate Change Denying Organizations
- "A field guide to the climate clowns"
- 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.
- 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
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Thriving on Low Carbon
- MIT's Climate Primer
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- The Sunlight Economy
- "Getting to the Energy Future We Want," Dr Steven Chu
- Interview with Wally Broecker Interview with Wally Broecker
- 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%.
- Climate model projections versus observations
- 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.
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Social Cost of Carbon
- AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
- Warming slowdown discussion
- Exxon-Mobil statement on UNFCCC COP21
- David Appell's early climate science
- Grid parity map for Solar PV in United States
- Reanalyses.org
- "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.)
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Jacobson WWS literature index
- History of discovering Global Warming From the American Institute of Physics.
- "Climate science is setttled enough"
- The Scientific Case for Modern Human-caused Global Warming
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Bloomberg interactive graph on “What's warming the world''
- Risk and Well-Being
- Climate change: Evidence and causes A project of the UK Royal Society: (1) Answers to key questions, (2) evidence and causes, and (3) a short guide to climate science
- 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 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.
- Earth System Models
- Documenting the Climate Deniarati at work
- On Thomas Edison and Solar Electric Power
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- "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.
- 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
Archives
Jan Galkowski
Category Archives: Andrew Harvey
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
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