In-Depth Energy Analysis and Consumption Prediction of India

Abstract

Today's world requires extremely efficient energy consumption. Demand is rising as a result of the industrial sector's quick advancements, making energy efficiency initiatives essential to reducing energy waste and satisfying demand. According to the study of numerous scenarios utilized by policy makers, at least a 50% reduction in industrial energy use is required for the world temperature to rise by less than 2°C by the end of this century. It is crucial that, we include a trustworthy forecasting tool that can be used to estimate the energy consumption based on numerous anticipated elements to remain on track with these scenarios and to meet the desired objectives. Energy is recognized as a crucial component for every country's economic development. Energy is one of the main forces behind economic progress in India, a growing nation. According to the review, socioeconomic factors like GNP, energy prices, and population are all related to energy usage. The impact of socioeconomic factors on energy consumption is examined in this article using econometric models. The R2, SE, test is used to discover the best fit and to identify the important factors affecting energy consumption. It has been shown that demand for coal is influenced by population and coal price, but demand for oil is influenced by GNP per capita. The GNP and power price both affect how much electricity is demanded. The projected demand for electricity, coal, oil, and natural gas in India from 2030 to 2031 results in a total energy need of 22.944 1015 kJ.

Authors and Affiliations

Mudasir Ahmad Wani, Er. Dharminder Kumar, and Dr Satish Saini

Keywords

Related Articles

Derivation of Kinetic Equations for Free-Radical Nonbranched-Chain Processes of Hydrocarbon and Hydrogen Oxidation

The derivation of kinetic equations for the oxidation processes by the free-radical nonbranched-chain mechanism is shown. This derivation is based on the proposed reaction scheme for the initiated addition of free radica...

Near-Merger Electromagnetic Emission from Super massive Binary Black Holes

The first accelerated prediction involves infrared waves from the shielding fluid of a massive bipolar neutron stars system on the verge of merging. Using a ray-tracing approach to thread data from just a universal veloc...

A Review of Video Detection and Tracking Methods for Moving Objects

Object detection and tracking are widely utilized in today's society, especially for motion detection of different objects. The initial stage in object detection is to recognize objects in the video stream and cluster th...

Fuzzy Modified TOPSIS for Supplier Selection Problem in Supply Chain Management

Nowadays, global market is highly competitive. Major part of the capital is spent on purchasing raw material/semi finished items. The strategic decision of supply chain is to minimize the expenses on the purchase of item...

Deep Learning-Driven Optimized Approaches for Network Anomaly Detection in IoT-Enabled Cloud Ecosystems: A Comprehensive Review

The rapid proliferation of Internet of Things (IoT) devices within cloud environments has introduced unprecedented challenges in securing network infrastructures against anomalies and cyber threats. Traditional detection...

Download PDF file
  • EP ID EP746035
  • DOI 0.55524/ijircst.2022.10.5.9
  • Views 53
  • Downloads 0

How To Cite

Mudasir Ahmad Wani, Er. Dharminder Kumar, and Dr Satish Saini (2022). In-Depth Energy Analysis and Consumption Prediction of India. International Journal of Innovative Research in Computer Science and Technology, 10(5), -. https://europub.co.uk./articles/-A-746035