adgefficiency.com

GENERAL
META
HTML
LINK ANALYSIS
SERVER
IP

Adgefficiency.com recives any estimated n/a unique visitors and n/a unique page views per day. Revenue gained from these much visits may be n/a per day from various advertising sources. The estimated worth of site is n/a.

Website Age n/a
Alexa Rank no-data
Country United States
IP Address 185.199.108.153

META INFORMATION

Title

The intersection of energy and machine learning

Description

The intersection of energy and machine learning

Keywords

Content Type

utf-8

No	Meta Name	Value
1	viewport	width=device-width, initial-scale=1.0

GENERAL HTML INFORMATION

Type	Status
HTML 5
Responsive Website

HTML SIZE INFORMATION

Text / Code Ratio 17.51 %

adgefficiency.com has a website text/code ratio of 17.51 %. Search engine crawlers tend to not pick up pages with inadequate content.

IMPORTANT HTML TAGS AND COUNTS

Titles

H10
H250
H32
H40
H50
H60

No	Text
1	Talk on reimplementing world models
2	Warming up with pipeline data engineering academy
3	Daniel c. dennett’s four competences
4	World models (the long version)
5	Mistakes data scientists make - talk
6	Mistakes data scientists make
7	Setting and resetting lstm hidden states in tensorflow 2
8	Machine learning in energy
9	Cross entropy method
10	Steal this decarbonization plan!
11	Measuring forecast quality using linear programming
12	ıntroducing energy-py-linear
13	Solving open aı gym cartpole using ddqn
14	A simple python workflow for time series simulations
15	We won’t solve climate change - and it’s ok
16	A pythonic blockchain
17	A hackers guide to aemo & nem data
18	All hail open aı five
19	Next steps in the clean energy transition
20	Ddqn hyperparameter tuning using open aı gym cartpole
21	Dqn debugging using open aı gym cartpole
22	Getting to zero: pathways to zero carbon electricity systems - jesse jenkins
23	The four ınconvenient truths of the clean energy transition
24	The state of energy storage in america
25	Demateralization and the clean energy transition
26	Jevon’s paradox
27	ınertia in electricity systems
28	11 tips from 11 months of learning python
29	Getting wind and sun onto the grid
30	Chp cheat sheet - gas engines & gas turbines
31	Blockchain in energy
32	Elon musk on autonomous cars
33	Machine learning in energy - part two
34	Caıso stage 1 grid emergency
35	Machine learning in energy - part one
36	Oil reserves growth
37	The complexity of a zero carbon grid
38	Energy-py - reinforcement learning for energy systems
39	Capacity factor
40	How to save the energy system - andré bardow
41	2017 bp energy outlook
42	Average versus marginal carbon emissions
43	A simple look at the efficiency penalty cost of renewables
44	How clean and renewable are wind and solar?
45	Does combined heat & power provide a carbon benefit?
46	Fixed versus variable costs
47	Vaclav smil on carbon capture & storage
48	ıea 2016 world energy outlook
49	A look at wind and solar
50	Four negative effects of high return temperatures

No	Text
1	Adam green
2	Recent posts

Text Styling

STRONG1
B0
EM0
I0
U0
CITE0

STRONG

No	Text
1	Follow:

LINK ANALYSIS

Total Link Count: 83

Internal Link Count : 72

No	Text	Type
1	blog	text
2	my work	text
3	reading list	text
4	archive	text
5	Email	text
6	energy-py	text
7	energy-py-linear	text
8	World Models (the long version)	text
9	Machine Learning in Energy	text
10	Mistakes Data Scientists Make	text
11	Average versus Marginal Carbon	text
12	kW versus kWh	text
13	HHV vs LHV	text
14	Gas Turbines and Ambient Temperature	text
15	Capacity Factor	text
16	CHP Cheat Sheet	text
17	Talk on Reimplementing World Models	text
18	Warming up with Pipeline Data Engineering Academy	text
19	Daniel C. Dennett’s Four Competences	text
20	World Models (the long version)	text
21	Mistakes Data Scientists Make - Talk	text
22	Mistakes Data Scientists Make	text
23	Setting and resetting LSTM hidden states in Tensorflow 2	text
24	Machine Learning in Energy	text
25	Cross Entropy Method	text
26	Steal This Decarbonization Plan!	text
27	Measuring Forecast Quality using Linear Programming	text
28	Introducing energy-py-linear	text
29	Solving Open AI gym Cartpole using DDQN	text
30	A simple Python workflow for time series simulations	text
31	We won’t solve climate change - and it’s ok	text
32	A Pythonic blockchain	text
33	A hackers guide to AEMO & NEM data	text
34	All hail Open AI Five	text
35	Next steps in the clean energy transition	text
36	DDQN hyperparameter tuning using Open AI gym Cartpole	text
37	DQN debugging using Open AI gym Cartpole	text
38	Getting to Zero: Pathways to Zero Carbon Electricity Systems - Jesse Jenkins	text
39	The Four Inconvenient Truths of the Clean Energy Transition	text
40	The State of Energy Storage in America	text
41	Demateralization and the clean energy transition	text
42	Jevon’s Paradox	text
43	Inertia in Electricity Systems	text
44	11 tips from 11 months of learning Python	text
45	Getting Wind and Sun onto the Grid	text
46	CHP Cheat Sheet - Gas Engines & Gas Turbines	text
47	Blockchain in Energy	text
48	Elon Musk on autonomous cars	text
49	Machine Learning in Energy - Part Two	text
50	CAISO Stage 1 Grid Emergency	text

External Link Count : 11

No	Text	Type
1	LinkedIn	text
2	GitHub	text
3	Flickr	text
4	world-models	text
5	teaching-monolith	text
6	programming-resources	text
7	ml-resources	text
8	rl-resources	text
9	GitHub	text
10	Jekyll	text
11	Minimal Mistakes	text

Nofollow Link Count : 2

No	Text	Type
1	Jekyll	text
2	Minimal Mistakes	text

Title Link Count : 0

WEBSITE SERVER INFORMATION

Service Provider (ISP)
Fastly
Hosted IP Address
185.199.108.153
Hosted Country
United States
Host Region
California , San Francisco
Latitude and Longitude
37.7823 : -122.391

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