Distributed Solar: The Democratizaton of Energy
Blogroll
- Giant vertical monopolies for energy have stopped making sense
- 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”
- Subsidies for wind and solar versus subsidies for fossil fuels
- Mrooijer's Numbers R 4Us
- All about Sankey diagrams
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Leadership lessons from Lao Tzu
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- 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.”
- 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.
- BioPython A collection of Python tools for quantitative Biology
- Gabriel's staircase
- Dr James Spall's SPSA
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- London Review of Books
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- What If
- NCAR AtmosNews
- 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/
- Woods Hole Oceanographic Institution (WHOI)
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Healthy Home Healthy Planet
- 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
- Professor David Draper
- Number Cruncher Politics
- Dollars per BBL: Energy in Transition
- James' Empty Blog
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- International Society for Bayesian Analysis (ISBA)
- 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.
- Ives and Dakos techniques for regime changes in series
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Mertonian norms
- Comprehensive Guide to Bayes Rule
- American Association for the Advancement of Science (AAAS)
- 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.
- Beautiful Weeds of New York City
- Carl Safina's blog One of the wisest on Earth
- Leverhulme Centre for Climate Change Mitigation
- Harvard's Project Implicit
- 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.
- The Alliance for Securing Democracy dashboard
- Earle Wilson
- 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/
- Slice Sampling
- "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
- Simple models of climate change
- 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
- “The discovery of global warming'' (American Institute of Physics)
- 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 Scientific Case for Modern Human-caused Global Warming
- SolarLove
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- weather blocking patterns
- Interview with Wally Broecker Interview with Wally Broecker
- An open letter to Steve Levitt
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- "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.
- Earth System Models
- 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.
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- "A field guide to the climate clowns"
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- 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.
- World Weather Attribution
- 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.
- RealClimate
- James Powell on sampling the climate consensus
- 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.
- "Getting to the Energy Future We Want," Dr Steven Chu
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- Ice and Snow
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- "Climate science is setttled enough"
- The Sunlight Economy
- Mrooijer's Global Temperature Explorer
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- On Thomas Edison and Solar Electric Power
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- 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%.
- “Ways to [try to] slow the Solar Century''
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Spectra Energy exposed
- 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.
- Climate Change Denying Organizations
- Berkeley Earth Surface Temperature
- Nick Bower's "Scared Scientists"
- Agendaists Eli Rabett’s coining of a phrase
Archives
Jan Galkowski
Category Archives: dlm package
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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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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Six cases of models
The previous post included an attempt to explain land surface temperatures as estimated by the BEST project using a dynamic linear model including regressions on both quarterly CO2 concentrations and ocean heat content. The idea was to check the explanatory … Continue reading
Posted in AMETSOC, anemic data, Anthropocene, astrophysics, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, climate, climate change, climate data, climate disruption, climate models, dlm package, dynamic linear models, dynamical systems, environment, fossil fuels, geophysics, Giovanni Petris, global warming, greenhouse gases, Hyper Anthropocene, information theoretic statistics, maths, maximum likelihood, meteorology, model comparison, numerical software, Patrizia Campagnoli, Rauch-Tung-Striebel, Sonia Petrone, state-space models, stochastic algorithms, stochastic search, SVD, time series
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ecoquant
