EVOLVING COMPETITIVE ELECTRICITY MARKETS: RESEARCH PAPER ON OPERATIONS TECHNOLOGY AND MARKET MANAGEMENT SOLUTIONS - DEMAND FORECASTING

Jayaprakash, Ponraj* and Chandramohan, A. and Sandeep, Jain (2017) EVOLVING COMPETITIVE ELECTRICITY MARKETS: RESEARCH PAPER ON OPERATIONS TECHNOLOGY AND MARKET MANAGEMENT SOLUTIONS - DEMAND FORECASTING. EVOLVING COMPETITIVE ELECTRICITY MARKETS: RESEARCH PAPER ON OPERATIONS TECHNOLOGY AND MARKET MANAGEMENT SOLUTIONS - DEMAND FORECASTING.

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Abstract

Background / Objectives: Worldwide governments, electricity regulatory bodies and utility organizations are converging on instituting new business models towards achievement of open access and thus autonomous electricity market objectives. Market operations and management solutions play an important in influencing the evolution of utilities transformation to autonomous state. The utilities are challenged to manage their power procurement decisions every day basis due to various uncertainties such as economic parameters, government policies on renewables, storage, energy efficiency, weather parameters, holidays and special events like rally, election etc., on a short, medium and long term basis. And this inefficiency is transferred to the
consumers in to increasing tariffs. Availability of accurate forecasting & optimizations tools and algorithms interlaced with the utilities processes would significantly bring in synergy and hence reduce the inefficiencies in energy portfolio management. The optimization of revenue or procurement cost is associated with uncertainties in demand and supply. Accurate forecasting of demand and supply changes over intra-day, day ahead, weekly, monthly and a yearly is helps utility in buy and sell decisions of energy through energy exchanges, banking and bilateral contracts. Demand forecasting is dependent on various independent factors such as weather conditions, hour of a day, day of a week, holiday patterns, special events, etc.,

Item Type: Article
Subjects: Management Studies > Management
Domains: Management Studies
Depositing User: Mr IR Admin
Date Deposited: 28 Sep 2024 10:16
Last Modified: 26 Aug 2025 06:11
URI: https://ir.vistas.ac.in/id/eprint/7572

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