Renewable Energy Tech by Altanai – Renewable Energy Sciences and Applications

electric grid, FTM storage

Energy Utility Grid Peaks and FTM ( Front of Meter) bulk storage

September 8, 2021 — 0 Comments

carbon foorptint, electric grid

Seasonal Difference in Region wise Carbon Emission and Fuel Mix Percentages

September 8, 2021 — 0 Comments

Demand Charges Saving using Battery storage and their environmental impact

August 16, 2021 — 0 Comments

Commercial and Industrial scale Electricty Peaks And Demand Charges

Commercial and Industrial scale Electricty Peaks And Demand Charges

August 5, 2021 — 0 Comments

Batteries Energy storage ( BESS)

Batteries Energy storage ( BESS)

August 3, 2021 — 0 Comments

carbon foorptint, electric grid

Energy storage for Peak Shaving

July 9, 2021 — 1 Comment

Carbon footprint in Energy Generation

carbon foorptint

Carbon footprint in Energy Generation

June 23, 2021 — 0 Comments

Levelised Cost of Electricity ( LCOE) Generation

Levelised Cost of Electricity ( LCOE) Generation

June 15, 2021 — 0 Comments

BTM storage, electric grid

Approaches to meet daily Peak Demand

April 14, 2021 — 0 Comments

Super ( Ultra) capacitors

Super ( Ultra) capacitors

December 14, 2019 — 0 Comments

altanai

Specialized in CPaaS, carrier-grade WebRTC-SIP telecom platforms for Unified communication-collaboration, signaling gateways, SBC, soft turrets, IoT-surveillance and telecom integrations. Ardent contributor to Open Source software, avid freelancer, innovator and technical writer (telecom.altanai.com ). Inventor of "RamuDroid" an IOT Road-Cleaning robot Author of book "WebRTC Integrator's Guide" published by Packt

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Encapsulting Protocols

Encapsulation is the process of encasing the payload sent by an endpoint into another protocol’s payload, attaching its own header and trailer. This is applied to all data being processed by the network stack layers. For example, an HTTP ( L7 application layer protocol) is encapsulated under a TCP header (L4 layer protocol ) and […]

Multihoming protocols and mobility

A multihoming protocol maintains a simultaneous connection to multiple networks. Such a protocol enhances reliability, load balancing, and fault tolerance and makes an excellent candidate for signaling planes, which are lightweight packets managing the connection for the data plane. Dataplane acts as the actual data transfer protocol, which can be for multimedia such as audio-video […]

Low Latency Media streaming

Low latency is imperative for use cases that require mission-critical communication such as the emergency call for first responders, interactive collaboration and communication services, real-time remote object detection etc. Other use cases where low latency is essential are banking communication, financial trading communication, VR gaming etc. When low latency streaming is combined with high definition (HD) quality, the complication grows tenfold. This article discusses RTMP, RTSP, LL HLS, MPEG-DASH and, WebRTC, SRT as technologies to provide low-latency streaming. It also discusses the TradeOff of Latency vs. Quality and congestion control to avoid packet loss which is detrimental to low latency.

Clustering

Quality of clustering
Cluster Analysis
K-Means clustering
Mean Shift Clustering
Aglomerative clustering
Gaussian Mixture Model(GMM)

Regression And Classification

Regression
MLE ( Maximum Liklihood Estimation) in Regression
Linear Regression
Loss function
MSE
MAE
MBE
Logistic Regression
Loss function Log
Precession and Recall
ROC curve (receiver operating characteristic curve)
AUC ( Area Under the Curve)
complex-decision-boundary
Classification
Gaussian Naïve Bayes classification
Bayesian rule
Choose class that minizes Risk
Choose dicriminant function for decsision making
Training and Testing: Estimating Error Rates
Decision Tree
KNN ( K Nearest Neighbour)

Machine Learning Part 2

Statistical Data Types Learning Methods for ML Instance based / Lazy Model based Distance metrics Euclidean Distance Manhanttan distance Chebyshev distance General Hamming distance Loss function Loss function for Linear Regression MSE MAE MBE Log Loss function for Logistic Regression Cross-entropy Reducing Loss Iterative approach Gradient descent Stochastic gradient descent (SGD) mini-batch SGD Transformation Normalization […]

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